Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployments
Based only on the supplied evidence, I cannot fully fact check a head to head “Claude Opus 4.7 vs GPT 5.5 Spud” governance comparison because none of the provided sources explicitly describes a model named GPT 5.5 Spu...
Based only on the supplied evidence, I cannot fully fact check a head to head “Claude Opus 4.7 vs GPT 5.5 Spud” governance comparison because none of the provided sources explicitly describes a model named GPT 5.5 Spud, and the OpenAI evidence is limited to one data controls page [1][2][3][4][5][6][7][8]. What the reco
Key takeaways
Based only on the supplied evidence, I cannot fully fact-check a head-to-head “Claude Opus 4.7 vs GPT-5.5 Spud” governance comparison because none of the provided sources explicitly describes a model named GPT-5.5 Spud, and the OpenAI evidence is limited to one data-controls page [1][2][3][4][5][6][
Based only on the supplied evidence, I cannot fully fact-check a head-to-head “Claude Opus 4.7 vs GPT-5.5 Spud” governance comparison because none of the provided sources explicitly describes a model named GPT-5.5 Spud, and the OpenAI evidence is limited to one data-controls page
Research answer
Based only on the supplied evidence, I cannot fully fact-check a head-to-head “Claude Opus 4.7 vs GPT-5.5 Spud” governance comparison because none of the provided sources explicitly describes a model named GPT-5.5 Spud, and the OpenAI evidence is limited to one data-controls page [1][2][3][4][5][6][7][8]. What the record does support is narrower: OpenAI explicitly documents API data-retention and abuse-monitoring options, while Anthropic’s docs show Claude Opus 4.7 plus org-admin, files, streaming, and Remote MCP surfaces that matter for production use [1][2][3][4][5][7][8]. Key findings - Anthropic explicitly identifies Claude Opus 4.7 as part of its latest generation of Claude models and calls it its most capable model for complex reasoning and agentic coding, with a “step-change jump” over Claude Opus 4.6 [4]. - OpenAI explicitly documents two API data-control modes for approved customers: Modified Abuse Monitoring and Zero Data Retention, selectable for an API organization or project [1]. - OpenAI also states that customers who enable those modes are responsible for ensuring their users abide by OpenAI’s policies for safe and responsible AI use [1]. - Anthropic’s developer docs show organization-level admin surfaces for invites, including a List Invites endpoint with cursor pagination and a Delete Invite endpoint at DELETE /v1/organizations/invites/{invite_id} [5][2]. - Anthropic’s Files API lets users upload and manage files for use with the Claude API without re-uploading content on every request, and Anthropic labels that API as beta [3]. - Anthropic documents streaming message events with structured deltas including content_block_delta, text_delta, and input_json_delta [8]. - Anthropic also has dedicated documentation for Remote MCP servers, and the provided snippet says several companies have deployed remote MCP servers [7]. - Anthropic’s models overview links directly to Admin and Models & pricing documentation, which is further evidence of a documented administrative and deployment surface in the provided record [6]. - Inference: in this evidence set, OpenAI is better evidenced on explicit data-governance controls, while Anthropic is better evidenced on surrounding operational API surfaces; that is not the same as proving either platform has stronger overall governance or auditability [1][2][3][5][6][7][8]. Evidence notes - There is no direct conflict among the provided sources; the main issue is asymmetry, because OpenAI is represented here by one controls page while Anthropic is represented by several product and API docs [1][2][3][4][5][6][7][8]. Limitations / uncertainty - Insufficient evidence to verify any model-specific claim about GPT-5.5 Spud, including its capabilities, admin features, or auditability, because no provided source names or describes it [1][2][3][4][5][6][7][8]. - Insufficient evidence to conclude which vendor is stronger on auditability for real deployments, because the provided evidence does not explicitly document audit logs, immutable tracing, approval workflows, SSO/SCIM, or role-based access controls for either side [1][2][3][4][5][6][7][8]. - Any stronger winner-take-all conclusion would be speculative given the limited and uneven source set [1][2][3][4][5][6][7][8]. Summary - If your gating requirement is explicit API data-retention control, the supplied OpenAI evidence is stronger because it clearly documents Modified Abuse Monitoring and Zero Data Retention at org or project scope [1]. - If your gating requirement is documented operational surfaces in the supplied record, Anthropic shows more here through invite administration, file management, structured streaming, and Remote MCP documentation [2][3][5][7][8]. - For procurement or compliance sign-off on governance, auditability, and production controls, the correct conclusion from this evidence alone is: Insufficient evidence for a full head-to-head decision [1][2][3][4][5][6][7][8].
Supporting visuals
Anthropic Launches Claude Opus 4.7 (Best AI Model Yet)The image features the title "Anthropic Drops Claude Opus 4.7" displayed prominently, with icons representing AI or software tools above it, set against a dark background that appears to include faint code or technical text.Claude Opus 4.7: Pricing, Benchmarks & Context WindowThe image features a futuristic digital design with glowing, abstract neural network and wave patterns, emphasizing the names "Claude Opus 4.7" and "GPT-5.5," along with phrases like "The Next Generation of AI Performance and Creativity" and references to model documentation, governance, auditability, and production coImage related to Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployImage related to Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployImage related to Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployImage related to Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployImage related to Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployImage related to Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployImage related to Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployImage related to Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployImage related to Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployImage related to Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployvisitvisitvisitvisitvisitwatch
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Research question
Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployments
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Cited answer
Based only on the supplied evidence, I cannot fully fact-check a head-to-head “Claude Opus 4.7 vs GPT-5.5 Spud” governance comparison because none of the provided sources explicitly describes a model named GPT-5.5 Spud, and the OpenAI evidence is limited to one data-controls page [1][2][3][4][5][6][7][8]. What the record does support is narrower: OpenAI explicitly documents API data-retention and abuse-monitoring options, while Anthropic’s docs show Claude Opus 4.7 plus org-admin, files, streaming, and Remote MCP surfaces that matter for production use [1][2][3][4][5][7][8]. Key findings - Anthropic explicitly identifies Claude Opus 4.7 as part of its latest generation of Claude models and calls it its most capable model for complex reasoning and agentic coding, with a “step-change jump” over Claude Opus 4.6 [4]. - OpenAI explicitly documents two API data-control modes for approved customers: Modified Abuse Monitoring and Zero Data Retention, selectable for an API organization or project [1]. - OpenAI also states that customers who enable those modes are responsible for ensuring their users abide by OpenAI’s policies for safe and responsible AI use [1]. - Anthropic’s developer docs show organization-level admin surfaces for invites, including a List Invites endpoint with cursor pagination and a Delete Invite endpoint at DELETE /v1/organizations/invites/{invite_id} [5][2]. - Anthropic’s Files API lets users upload and manage files for use with the Claude API without re-uploading content on every request, and Anthropic labels that API as beta [3]. - Anthropic documents streaming message events with structured deltas including content_block_delta, text_delta, and input_json_delta [8]. - Anthropic also has dedicated documentation for Remote MCP servers, and the provided snippet says several companies have deployed remote MCP servers [7]. - Anthropic’s models overview links directly to Admin and Models & pricing documentation, which is further evidence of a documented administrative and deployment surface in the provided record [6]. - Inference: in this evidence set, OpenAI is better evidenced on explicit data-governance controls, while Anthropic is better evidenced on surrounding operational API surfaces; that is not the same as proving either platform has stronger overall governance or auditability [1][2][3][5][6][7][8]. Evidence notes - There is no direct conflict among the provided sources; the main issue is asymmetry, because OpenAI is represented here by one controls page while Anthropic is represented by several product and API docs [1][2][3][4][5][6][7][8]. Limitations / uncertainty - Insufficient evidence to verify any model-specific claim about GPT-5.5 Spud, including its capabilities, admin features, or auditability, because no provided source names or describes it [1][2][3][4][5][6][7][8]. - Insufficient evidence to conclude which vendor is stronger on auditability for real deployments, because the provided evidence does not explicitly document audit logs, immutable tracing, approval workflows, SSO/SCIM, or role-based access controls for either side [1][2][3][4][5][6][7][8]. - Any stronger winner-take-all conclusion would be speculative given the limited and uneven source set [1][2][3][4][5][6][7][8]. Summary - If your gating requirement is explicit API data-retention control, the supplied OpenAI evidence is stronger because it clearly documents Modified Abuse Monitoring and Zero Data Retention at org or project scope [1]. - If your gating requirement is documented operational surfaces in the supplied record, Anthropic shows more here through invite administration, file management, structured streaming, and Remote MCP documentation [2][3][5][7][8]. - For procurement or compliance sign-off on governance, auditability, and production controls, the correct conclusion from this evidence alone is: Insufficient evidence for a full head-to-head decision [1][2][3][4][5][6][7][8].
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What is the short answer to "Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployments"?
Based only on the supplied evidence, I cannot fully fact-check a head-to-head “Claude Opus 4.7 vs GPT-5.5 Spud” governance comparison because none of the provided sources explicitly describes a model named GPT-5.5 Spud, and the OpenAI evidence is limited to one data-controls page [1][2][3][4][5][6][
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Based only on the supplied evidence, I cannot fully fact-check a head-to-head “Claude Opus 4.7 vs GPT-5.5 Spud” governance comparison because none of the provided sources explicitly describes a model named GPT-5.5 Spud, and the OpenAI evidence is limited to one data-controls page [1][2][3][4][5][6][ Based only on the supplied evidence, I cannot fully fact-check a head-to-head “Claude Opus 4.7 vs GPT-5.5 Spud” governance comparison because none of the provided sources explicitly describes a model named GPT-5.5 Spud, and the OpenAI evidence is limited to one data-controls page
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Continue with "Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Hallucination control, abstention behavior, and calibrated uncertainty" for another angle and extra citations.
Cross-check this answer against "Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Benchmark credibility, contamination risk, and independent replication.".
— though Anthropic's migration guide flags two breaking changes worth checking before you flip the switch in production (more below). Anthropic's April 16 release reports the following benchmark shifts — all Anthropic-conducted unless otherwise noted:. * Claude Managed Agents Pricing: What You Actually Pay — How Opus 4.7's tokenizer change interacts with session-hour billing in Claude Managed Agents. * [Claude Code vs Verdent: Multi-Ag…
What's the difference between Claude Opus 4.7 and GPT-5.5? Compare Claude Opus 4.7 vs. GPT-5.5 in 2026 by cost, reviews, features, integrations, and more.
Claude Opus 4.7 is Out — Weekly AI Newsletter (April 20th 2026) | by Fabio Chiusano | Generative AI | Apr, 2026 | Medium. Open in app. Sign in. [](https://mediu…
A smarter, more widely useful model. * How to use GPT‑5. See here for full details on what GPT‑5 unlocks for developers. At times, reducing sycophancy can come with reductions in user satisfaction, but the improvements we made cut sycophancy by more than half while also delivering other measurable gains, so users continue to have high-quality, constructive conversations—in line with our…
Claude Opus 4.6 ... When you use a symmetric customer managed key to encrypt your data, you can also use the encryption context in audit records and logs to
Claude Code and new admin controls for business plans. Enterprise and Team customers can now upgrade to premium seats that include more usage and Claude Code—bringing our app and powerful coding agent together under one subscription. We've built new comprehensive controls that give organizations the visibility and management capabilities they need to enable employees to work productively with Claude. Rather than manual exports and periodic reviews, compliance teams get real-time programmatic access to Claude usage data and customer content, enabling them to build continuous monitoring and a…
But we’re now seeing the emergence of AI agents, which pursue tasks autonomously when given a goal. Agents direct their own processes and tool usage, maintaining control over how they accomplish tasks with minimum human input. Many companies are also building their own agents using our models. We hope this framework can help establish emerging standards, offer adaptable guidance for different contexts, and contribute to building an ecosystem where agents align with human values. ## Keeping humans in control while enabling agent autonomy. As agents become more powerful and prevalent, we’ll nee…
We focus on two areas: how Claude handles conversations about suicide and self-harm, and how we’ve reduced “sycophancy”—the tendency of some AI models to tell users what they want to hear, rather than what is true and helpful. We’ve also introduced new features to identify when a user might require professional support, and to direct users to that support where that may be necessary—including a suicide and self-harm “classifier” on conversations on Claude.ai. Single-turn responses. Here, we evaluate how Claude responds to an individual message related to suicide or self-harm, without any…
It then describes a wide range of safety evaluations: tests of model safeguards (including new, higher-dif fi culty assessments); user wellbeing evaluations; assessments of honesty and agentic safety; a comprehensive alignment assessment including investigations of reward hacking, sabotage capability, evaluation awareness, model welfare, and many other factors; and a set of evaluations for dangerous capabilities mandated by our Responsible Scaling Policy. The model shows signi fi cant improvements in long-context reasoning, knowledge work, research, and analysis; it has also increased its cap…
On some measures, Sonnet 4.6 showed the best degree of alignment we have yet seen in any Claude model. Informed by the testing described here—and similarly to Claude Sonnet 4.5—we have deployed Claude Sonnet 4.6 under the AI Safety Level 3 (ASL-3) Standard. 3 Abstract 3 1 Introduction 7 1.1 Model training and characteristics 8 1.1.1 Training data and process 8 1.1.2 Thinking modes and the effort parameter 9 1.1.3 Crowd workers 9 1.2 Release decision process 10 1.2.1 Overview 10 1.2.2 Iterative model evaluations 10 1.2.3 AI S…
| | Messages API | Claude Managed Agents |. Instead of building your own agent loop, tool execution, and runtime, you get a fully managed environment where Claude can read files, run commands, browse the web, and execute code securely. 2. **Runs the agent loop:** Claude decides which tools to use based on your message. | | Messages API | Claude Managed Agents |. URL: https://platform.claude.com/docs/en/agents-and-tools/agent-skills/claude-api-skill. - **Claude Managed Agents (beta)** — a first-party surface for server-managed stateful agents with Anthropic-hosted tool execution, persi…
You can use the tools you have access to— like Google Drive, web search, etc.—if they’ll help you better accomplish this task. You can use the tools you have access to— like Google Drive, web search, etc.—if they’ll help you better accomplish this task. You can use the tools you have access to— like Google Drive, web search, etc.—if they’ll help you better accomplish this task. You can use the tools you have access to— like Google Drive, web search, etc.—if they’ll help you better accomplish this task. You can use the tools you have access to— like Google Drive, web search, etc.—if they’ll he…
The following are summaries of key safety evaluations from our Claude Sonnet 4.6 system card. The following are summaries of key safety evaluations from our Claude Opus 4.6 system card. Additional evaluations were conducted as part of our safety process; for our complete publicly reported evaluation results, please refer to the full system card. We tested Claude…
some dimensions of risk—in particular, assessing our AI models for capabilities that may have dangerous as well as bene fi cial uses. 1. We discuss not only properties of our AI models that are relevant to catastrophic risk, but also properties of our risk mitigations, including security controls and deployment safeguards. ○ However, the following threat actors are explicitly out of scope for the above bullet points: (a) state-sponsored programs that speci fi cally target us (e.g., through novel attack chains or insider compromise); (b) A small number (~10) of non-state actors with state-leve…
Approved customers may select between Modified Abuse Monitoring or Zero Data Retention for their API Organization or project. Customers who enable Modified Abuse Monitoring or Zero Data Retention are responsible for ensuring their users abide by OpenAI’s policies for safe and responsible use of AI and complying with any moderation and reporting requirements under applicable law. Additionally, Zero Data Retention changes some endpoint behavior: the i.j4i.i2
store
parameter for i.j4i.i2
/v1/responses
and i.j4i.i2
v1/chat/completions
will always be treated as i.j4i.i2
false
, even if the request attempts to set the value to…
In ChatGPT Business, workspace admins can control which apps are enabled for the workspace and can manage role-scoped app permissions. ### RBAC for Google Drive (synced) for Enterprise and Edu. Once you enable the Google Drive app with sync, all users who had access to the non-synced version will also gain access to the synced version. * If your workspace had the Google Drive app enabled at the workspace level, only users on the app with sync allow-list now retain access. * Users who were not on the allow-list no longer have access to the non-synced Google Drive app and **must be re-added…
We’ve also released native Multi-Factor Authentication(opens in a new window) (MFA) to help ensure compliance with increasing access control requirements. These are new additions to our existing stack of enterprise security features(opens in a new window) including SOC 2 Type II certification, single sign-on (SSO), data encryption at rest using AES-256 and in transit using TLS 1.2, and role-based access controls. We also offer Business Associate Agreements(opens in a new window) for healthcare companies that require HIPAA compliance and a zero data retention policy for API customers with a…
Our commitments provide you with ownership and control over your business data (inputs and outputs from ChatGPT Business, ChatGPT Enterprise, ChatGPT for Healthcare, ChatGPT Edu, ChatGPT for Teachers and our API Platform) and support for your compliance needs. Yes, we are able to execute a Data Processing Addendum (DPA) with customers for their use of ChatGPT Business, ChatGPT Enterprise, and the API in support of their compliance with GDPR and other privacy laws. For ChatGPT Edu and for Teachers, we process your data pursuant to our Student Data Privacy Agreement(opens in a new window). Exc…
Data residency for ChatGPT allows customers to keep their customer content stored at rest in a specific geographic region. Inference residency for ChatGPT
⚠️ This content has moved. The source of truth for Data Residency in the OpenAI API is our API documentation here: Data controls in the OpenAI platform.
Qualifying organizations are able to configure how long OpenAI retains business data, including opting for our zero data retention policy in the API platform.
Cookie settings. We use cookies to deliver and improve our services, analyze site usage, and if you agree, to customize or personalize your experience and market our services to you. You can read our Cookie Policy here. ### Terms and policies. # Remote MCP servers. Several companies have deployed remote MCP servers that developers can connect to via the Anthropic MCP connector API. These servers expand the capabilities available to developers and end users by providing remote access to various services and tools through the MCP protocol. The remote MCP servers listed below are third-party…
Token counting. Token counting enables you to determine the number of tokens in a message before sending it to Claude, helping you make informed decisions about your prompts and usage. With token counting, you can. ## How to count message tokens. The token counting endpoint accepts the same structured list of inputs for creating a message, including support for system prompts, tools, images, and PDFs. The response contains the total number of input tokens. All active models support token counting. ### Count tokens in basic messages. ### Count tokens in messages with tools. ### Count tokens…
Cookie settings. We use cookies to deliver and improve our services, analyze site usage, and if you agree, to customize or personalize your experience and market our services to you. You can read our Cookie Policy here. ### Solutions. ### Partners. ### Learn. ### Company. ### Learn. ### Help and security. ### Terms and policies. # Start building with Claude. Everything you need to integrate Claude into your applications. From first API call to production. model="claude-opus-4-7",. print(message.content[0].text)`. ## Choose how you build. ### Messages. You construct every turn, manage conv…
The Message Batches API is a powerful, cost-effective way to asynchronously process large volumes of Messages requests. When you send a request to the Message Batches API:. Test your batch requests with the Messages API. {{ "id": "msgbatch_01HkcTjaV5uDC8jWR4ZsDV8d", "id": "msgbatch_01HkcTjaV5uDC8jWR4ZsDV8d", "type": "message_batch", "type": "message_batch", "processing_status": "in_progress", "processing_status": "in_progress", "request_counts": { "request_counts": { "processing": 2, "processing": 2, "succeeded": 0, "succeeded": 0, "errored": 0, "errored": 0, "canceled": 0, "canceled": 0,…
Before you start Identified 2-3 concrete use cases Tools identified (built-in or MCP) Reviewed this guide and example skills Planned folder structure During development Folder named in kebab-case SKILL.md file exists (exact spelling) YAML frontmatter has --- delimiters name field: kebab-case, no spaces, no capitals description includes WHAT and WHEN No XML tags (< >) anywhere Instructions are clear and actionable Error handling included Examples provided References clearly linked Before upload Tested triggering on obvious tasks Tested triggering on paraphrased requests Verified doesn't trigge…
The Enterprise plan offers critical security and data management components including single sign-on (SSO) and domain capture for secure user access and centralized provisioning control, audit logs that trace system activities for security and compliance monitoring, system for Cross-domain Identity Management (SCIM) to automate user provisioning and access controls, and role-based permissioning that assigns a single primary owner of a workspace for security and information management. Based on the uploaded user feedback survey and analytics report, create a product requirements document for a…
As we show in our extensive system card, Opus 4.6 also shows an overall safety profile as good as, or better than, any other frontier model in the industry, with low rates of misaligned behavior across safety evaluations. . ![Image 3: Bar chart comparing Opus 4.6 to other models on Deep…
Skip to main contentSkip to footer. After working for the past few months with key partners like Notion, Quora, and DuckDuckGo in a closed alpha, we’ve been able to carefully test out our systems in the wild, and are ready to offer Claude more broadly so it can power crucial, cutting-edge use cases at scale. Claude is a next-generation AI assistant based on Anthropic’s research into training…
[Anthropic] - Claude 4 System Card. Copy link. View. [Anthropic] - Claude ... Claude Opus 4.7 Model Documentation Form. Copy link. Model Documentation for
Delete Invite - Claude API Reference. Create a MessageCount tokens in a Message. Create InviteGet InviteList InvitesDelete Invite. Rate limitsService tiersVersionsIP addressesSupported regions. # Delete Invite. DELETE/v1/organizations/invites/{invite_id}. ##### Path Parameters Expand Collapse. ##### Returns Expand Collapse. For Invites, this is always i.j4i.i2
Files API. The Files API lets you upload and manage files to use with the Claude API without re-uploading content with each request. You can also use the Files API to prevent having to continually re-upload frequently used documents and images across multiple API calls. The Files API is in beta. ## How the Files API works. ## How to use the Files API. i.j4i.i2
anthropic-beta: files-api-2025-04-14
. For file types that are not supported as i.j4i.i2
document
blocks (.csv, .txt, .md, .docx, .xlsx), convert the files to plain text, and include the content directly in your message:. For PDFs and text files, us…
Intro to Claude. The latest generation of Claude models:. Claude Opus 4.7 - Our most capable model for complex reasoning and agentic coding, with a step-change jump over Claude Opus 4.6. Learn more. Claude Sonnet 4.6 - Frontier intelligence at scale—built for coding, agents, and enterprise workflows. Learn more. Learn more. | | Messages API | Claude Managed Agents |. | Learn more | [Messages API docs](/docs/en/build-with-claude/…
List Invites - Claude API Reference. Create InviteGet InviteList InvitesDelete Invite. # List Invites. ID of the object to use as a cursor for pagination. When provided, returns the page of results immediately after this object. When provided, returns the page of results immediately before this object. Number of items to return per page. ##### Returns Expand Collapse. data: array of Invite { id, email, expires_at, 4 more }. Email of the User being invited. RFC 3339 datetime string indicating when the Invite expires. RFC 3339 datetime string indicating when the Invite was created. Organizati…
Messages - Claude API Reference. ### Solutions. ### Partners. * Google Cloud's Vertex AI. ### Learn. ### Company. ### Learn. ### Help and security. ### Terms and policies.
cap to 300k on the Message Batches API for Claude Opus 4.6 and Sonnet 4.6. * We've launched the compaction API in beta, providing server-side context summarization for effectively infinite conversations. * We've launched programmatic tool calling in public beta, allowing Claude to call tools from within code execut…
ReportsPublic URLApr 22, 202663 sources
Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployments
Based only on the supplied evidence, I cannot fully fact check a head to head “Claude Opus 4.7 vs GPT 5.5 Spud” governance comparison because none of the provided sources explicitly describes a model named GPT 5.5 Spu...
Based only on the supplied evidence, I cannot fully fact check a head to head “Claude Opus 4.7 vs GPT 5.5 Spud” governance comparison because none of the provided sources explicitly describes a model named GPT 5.5 Spud, and the OpenAI evidence is limited to one data controls page [1][2][3][4][5][6][7][8]. What the reco
Key takeaways
Based only on the supplied evidence, I cannot fully fact-check a head-to-head “Claude Opus 4.7 vs GPT-5.5 Spud” governance comparison because none of the provided sources explicitly describes a model named GPT-5.5 Spud, and the OpenAI evidence is limited to one data-controls page [1][2][3][4][5][6][
Based only on the supplied evidence, I cannot fully fact-check a head-to-head “Claude Opus 4.7 vs GPT-5.5 Spud” governance comparison because none of the provided sources explicitly describes a model named GPT-5.5 Spud, and the OpenAI evidence is limited to one data-controls page
Research answer
Based only on the supplied evidence, I cannot fully fact-check a head-to-head “Claude Opus 4.7 vs GPT-5.5 Spud” governance comparison because none of the provided sources explicitly describes a model named GPT-5.5 Spud, and the OpenAI evidence is limited to one data-controls page [1][2][3][4][5][6][7][8]. What the record does support is narrower: OpenAI explicitly documents API data-retention and abuse-monitoring options, while Anthropic’s docs show Claude Opus 4.7 plus org-admin, files, streaming, and Remote MCP surfaces that matter for production use [1][2][3][4][5][7][8]. Key findings - Anthropic explicitly identifies Claude Opus 4.7 as part of its latest generation of Claude models and calls it its most capable model for complex reasoning and agentic coding, with a “step-change jump” over Claude Opus 4.6 [4]. - OpenAI explicitly documents two API data-control modes for approved customers: Modified Abuse Monitoring and Zero Data Retention, selectable for an API organization or project [1]. - OpenAI also states that customers who enable those modes are responsible for ensuring their users abide by OpenAI’s policies for safe and responsible AI use [1]. - Anthropic’s developer docs show organization-level admin surfaces for invites, including a List Invites endpoint with cursor pagination and a Delete Invite endpoint at DELETE /v1/organizations/invites/{invite_id} [5][2]. - Anthropic’s Files API lets users upload and manage files for use with the Claude API without re-uploading content on every request, and Anthropic labels that API as beta [3]. - Anthropic documents streaming message events with structured deltas including content_block_delta, text_delta, and input_json_delta [8]. - Anthropic also has dedicated documentation for Remote MCP servers, and the provided snippet says several companies have deployed remote MCP servers [7]. - Anthropic’s models overview links directly to Admin and Models & pricing documentation, which is further evidence of a documented administrative and deployment surface in the provided record [6]. - Inference: in this evidence set, OpenAI is better evidenced on explicit data-governance controls, while Anthropic is better evidenced on surrounding operational API surfaces; that is not the same as proving either platform has stronger overall governance or auditability [1][2][3][5][6][7][8]. Evidence notes - There is no direct conflict among the provided sources; the main issue is asymmetry, because OpenAI is represented here by one controls page while Anthropic is represented by several product and API docs [1][2][3][4][5][6][7][8]. Limitations / uncertainty - Insufficient evidence to verify any model-specific claim about GPT-5.5 Spud, including its capabilities, admin features, or auditability, because no provided source names or describes it [1][2][3][4][5][6][7][8]. - Insufficient evidence to conclude which vendor is stronger on auditability for real deployments, because the provided evidence does not explicitly document audit logs, immutable tracing, approval workflows, SSO/SCIM, or role-based access controls for either side [1][2][3][4][5][6][7][8]. - Any stronger winner-take-all conclusion would be speculative given the limited and uneven source set [1][2][3][4][5][6][7][8]. Summary - If your gating requirement is explicit API data-retention control, the supplied OpenAI evidence is stronger because it clearly documents Modified Abuse Monitoring and Zero Data Retention at org or project scope [1]. - If your gating requirement is documented operational surfaces in the supplied record, Anthropic shows more here through invite administration, file management, structured streaming, and Remote MCP documentation [2][3][5][7][8]. - For procurement or compliance sign-off on governance, auditability, and production controls, the correct conclusion from this evidence alone is: Insufficient evidence for a full head-to-head decision [1][2][3][4][5][6][7][8].
Supporting visuals
Anthropic Launches Claude Opus 4.7 (Best AI Model Yet)The image features the title "Anthropic Drops Claude Opus 4.7" displayed prominently, with icons representing AI or software tools above it, set against a dark background that appears to include faint code or technical text.Claude Opus 4.7: Pricing, Benchmarks & Context WindowThe image features a futuristic digital design with glowing, abstract neural network and wave patterns, emphasizing the names "Claude Opus 4.7" and "GPT-5.5," along with phrases like "The Next Generation of AI Performance and Creativity" and references to model documentation, governance, auditability, and production coImage related to Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployImage related to Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployImage related to Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployImage related to Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployImage related to Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployImage related to Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployImage related to Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployImage related to Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployImage related to Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployImage related to Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployvisitvisitvisitvisitvisitwatch
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Research question
Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployments
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Cited answer
Based only on the supplied evidence, I cannot fully fact-check a head-to-head “Claude Opus 4.7 vs GPT-5.5 Spud” governance comparison because none of the provided sources explicitly describes a model named GPT-5.5 Spud, and the OpenAI evidence is limited to one data-controls page [1][2][3][4][5][6][7][8]. What the record does support is narrower: OpenAI explicitly documents API data-retention and abuse-monitoring options, while Anthropic’s docs show Claude Opus 4.7 plus org-admin, files, streaming, and Remote MCP surfaces that matter for production use [1][2][3][4][5][7][8]. Key findings - Anthropic explicitly identifies Claude Opus 4.7 as part of its latest generation of Claude models and calls it its most capable model for complex reasoning and agentic coding, with a “step-change jump” over Claude Opus 4.6 [4]. - OpenAI explicitly documents two API data-control modes for approved customers: Modified Abuse Monitoring and Zero Data Retention, selectable for an API organization or project [1]. - OpenAI also states that customers who enable those modes are responsible for ensuring their users abide by OpenAI’s policies for safe and responsible AI use [1]. - Anthropic’s developer docs show organization-level admin surfaces for invites, including a List Invites endpoint with cursor pagination and a Delete Invite endpoint at DELETE /v1/organizations/invites/{invite_id} [5][2]. - Anthropic’s Files API lets users upload and manage files for use with the Claude API without re-uploading content on every request, and Anthropic labels that API as beta [3]. - Anthropic documents streaming message events with structured deltas including content_block_delta, text_delta, and input_json_delta [8]. - Anthropic also has dedicated documentation for Remote MCP servers, and the provided snippet says several companies have deployed remote MCP servers [7]. - Anthropic’s models overview links directly to Admin and Models & pricing documentation, which is further evidence of a documented administrative and deployment surface in the provided record [6]. - Inference: in this evidence set, OpenAI is better evidenced on explicit data-governance controls, while Anthropic is better evidenced on surrounding operational API surfaces; that is not the same as proving either platform has stronger overall governance or auditability [1][2][3][5][6][7][8]. Evidence notes - There is no direct conflict among the provided sources; the main issue is asymmetry, because OpenAI is represented here by one controls page while Anthropic is represented by several product and API docs [1][2][3][4][5][6][7][8]. Limitations / uncertainty - Insufficient evidence to verify any model-specific claim about GPT-5.5 Spud, including its capabilities, admin features, or auditability, because no provided source names or describes it [1][2][3][4][5][6][7][8]. - Insufficient evidence to conclude which vendor is stronger on auditability for real deployments, because the provided evidence does not explicitly document audit logs, immutable tracing, approval workflows, SSO/SCIM, or role-based access controls for either side [1][2][3][4][5][6][7][8]. - Any stronger winner-take-all conclusion would be speculative given the limited and uneven source set [1][2][3][4][5][6][7][8]. Summary - If your gating requirement is explicit API data-retention control, the supplied OpenAI evidence is stronger because it clearly documents Modified Abuse Monitoring and Zero Data Retention at org or project scope [1]. - If your gating requirement is documented operational surfaces in the supplied record, Anthropic shows more here through invite administration, file management, structured streaming, and Remote MCP documentation [2][3][5][7][8]. - For procurement or compliance sign-off on governance, auditability, and production controls, the correct conclusion from this evidence alone is: Insufficient evidence for a full head-to-head decision [1][2][3][4][5][6][7][8].
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What is the short answer to "Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Governance, auditability, and production controls for real deployments"?
Based only on the supplied evidence, I cannot fully fact-check a head-to-head “Claude Opus 4.7 vs GPT-5.5 Spud” governance comparison because none of the provided sources explicitly describes a model named GPT-5.5 Spud, and the OpenAI evidence is limited to one data-controls page [1][2][3][4][5][6][
What are the key points to validate first?
Based only on the supplied evidence, I cannot fully fact-check a head-to-head “Claude Opus 4.7 vs GPT-5.5 Spud” governance comparison because none of the provided sources explicitly describes a model named GPT-5.5 Spud, and the OpenAI evidence is limited to one data-controls page [1][2][3][4][5][6][ Based only on the supplied evidence, I cannot fully fact-check a head-to-head “Claude Opus 4.7 vs GPT-5.5 Spud” governance comparison because none of the provided sources explicitly describes a model named GPT-5.5 Spud, and the OpenAI evidence is limited to one data-controls page
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Continue with "Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Hallucination control, abstention behavior, and calibrated uncertainty" for another angle and extra citations.
Cross-check this answer against "Research and fact-check: Claude Opus 4.7 vs GPT-5.5 Spud, Benchmark credibility, contamination risk, and independent replication.".
— though Anthropic's migration guide flags two breaking changes worth checking before you flip the switch in production (more below). Anthropic's April 16 release reports the following benchmark shifts — all Anthropic-conducted unless otherwise noted:. * Claude Managed Agents Pricing: What You Actually Pay — How Opus 4.7's tokenizer change interacts with session-hour billing in Claude Managed Agents. * [Claude Code vs Verdent: Multi-Ag…
What's the difference between Claude Opus 4.7 and GPT-5.5? Compare Claude Opus 4.7 vs. GPT-5.5 in 2026 by cost, reviews, features, integrations, and more.
Claude Opus 4.7 is Out — Weekly AI Newsletter (April 20th 2026) | by Fabio Chiusano | Generative AI | Apr, 2026 | Medium. Open in app. Sign in. [](https://mediu…
A smarter, more widely useful model. * How to use GPT‑5. See here for full details on what GPT‑5 unlocks for developers. At times, reducing sycophancy can come with reductions in user satisfaction, but the improvements we made cut sycophancy by more than half while also delivering other measurable gains, so users continue to have high-quality, constructive conversations—in line with our…
Claude Opus 4.6 ... When you use a symmetric customer managed key to encrypt your data, you can also use the encryption context in audit records and logs to
Claude Code and new admin controls for business plans. Enterprise and Team customers can now upgrade to premium seats that include more usage and Claude Code—bringing our app and powerful coding agent together under one subscription. We've built new comprehensive controls that give organizations the visibility and management capabilities they need to enable employees to work productively with Claude. Rather than manual exports and periodic reviews, compliance teams get real-time programmatic access to Claude usage data and customer content, enabling them to build continuous monitoring and a…
But we’re now seeing the emergence of AI agents, which pursue tasks autonomously when given a goal. Agents direct their own processes and tool usage, maintaining control over how they accomplish tasks with minimum human input. Many companies are also building their own agents using our models. We hope this framework can help establish emerging standards, offer adaptable guidance for different contexts, and contribute to building an ecosystem where agents align with human values. ## Keeping humans in control while enabling agent autonomy. As agents become more powerful and prevalent, we’ll nee…
We focus on two areas: how Claude handles conversations about suicide and self-harm, and how we’ve reduced “sycophancy”—the tendency of some AI models to tell users what they want to hear, rather than what is true and helpful. We’ve also introduced new features to identify when a user might require professional support, and to direct users to that support where that may be necessary—including a suicide and self-harm “classifier” on conversations on Claude.ai. Single-turn responses. Here, we evaluate how Claude responds to an individual message related to suicide or self-harm, without any…
It then describes a wide range of safety evaluations: tests of model safeguards (including new, higher-dif fi culty assessments); user wellbeing evaluations; assessments of honesty and agentic safety; a comprehensive alignment assessment including investigations of reward hacking, sabotage capability, evaluation awareness, model welfare, and many other factors; and a set of evaluations for dangerous capabilities mandated by our Responsible Scaling Policy. The model shows signi fi cant improvements in long-context reasoning, knowledge work, research, and analysis; it has also increased its cap…
On some measures, Sonnet 4.6 showed the best degree of alignment we have yet seen in any Claude model. Informed by the testing described here—and similarly to Claude Sonnet 4.5—we have deployed Claude Sonnet 4.6 under the AI Safety Level 3 (ASL-3) Standard. 3 Abstract 3 1 Introduction 7 1.1 Model training and characteristics 8 1.1.1 Training data and process 8 1.1.2 Thinking modes and the effort parameter 9 1.1.3 Crowd workers 9 1.2 Release decision process 10 1.2.1 Overview 10 1.2.2 Iterative model evaluations 10 1.2.3 AI S…
| | Messages API | Claude Managed Agents |. Instead of building your own agent loop, tool execution, and runtime, you get a fully managed environment where Claude can read files, run commands, browse the web, and execute code securely. 2. **Runs the agent loop:** Claude decides which tools to use based on your message. | | Messages API | Claude Managed Agents |. URL: https://platform.claude.com/docs/en/agents-and-tools/agent-skills/claude-api-skill. - **Claude Managed Agents (beta)** — a first-party surface for server-managed stateful agents with Anthropic-hosted tool execution, persi…
You can use the tools you have access to— like Google Drive, web search, etc.—if they’ll help you better accomplish this task. You can use the tools you have access to— like Google Drive, web search, etc.—if they’ll help you better accomplish this task. You can use the tools you have access to— like Google Drive, web search, etc.—if they’ll help you better accomplish this task. You can use the tools you have access to— like Google Drive, web search, etc.—if they’ll help you better accomplish this task. You can use the tools you have access to— like Google Drive, web search, etc.—if they’ll he…
The following are summaries of key safety evaluations from our Claude Sonnet 4.6 system card. The following are summaries of key safety evaluations from our Claude Opus 4.6 system card. Additional evaluations were conducted as part of our safety process; for our complete publicly reported evaluation results, please refer to the full system card. We tested Claude…
some dimensions of risk—in particular, assessing our AI models for capabilities that may have dangerous as well as bene fi cial uses. 1. We discuss not only properties of our AI models that are relevant to catastrophic risk, but also properties of our risk mitigations, including security controls and deployment safeguards. ○ However, the following threat actors are explicitly out of scope for the above bullet points: (a) state-sponsored programs that speci fi cally target us (e.g., through novel attack chains or insider compromise); (b) A small number (~10) of non-state actors with state-leve…
Approved customers may select between Modified Abuse Monitoring or Zero Data Retention for their API Organization or project. Customers who enable Modified Abuse Monitoring or Zero Data Retention are responsible for ensuring their users abide by OpenAI’s policies for safe and responsible use of AI and complying with any moderation and reporting requirements under applicable law. Additionally, Zero Data Retention changes some endpoint behavior: the i.j4i.i2
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and i.j4i.i2
v1/chat/completions
will always be treated as i.j4i.i2
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In ChatGPT Business, workspace admins can control which apps are enabled for the workspace and can manage role-scoped app permissions. ### RBAC for Google Drive (synced) for Enterprise and Edu. Once you enable the Google Drive app with sync, all users who had access to the non-synced version will also gain access to the synced version. * If your workspace had the Google Drive app enabled at the workspace level, only users on the app with sync allow-list now retain access. * Users who were not on the allow-list no longer have access to the non-synced Google Drive app and **must be re-added…
We’ve also released native Multi-Factor Authentication(opens in a new window) (MFA) to help ensure compliance with increasing access control requirements. These are new additions to our existing stack of enterprise security features(opens in a new window) including SOC 2 Type II certification, single sign-on (SSO), data encryption at rest using AES-256 and in transit using TLS 1.2, and role-based access controls. We also offer Business Associate Agreements(opens in a new window) for healthcare companies that require HIPAA compliance and a zero data retention policy for API customers with a…
Our commitments provide you with ownership and control over your business data (inputs and outputs from ChatGPT Business, ChatGPT Enterprise, ChatGPT for Healthcare, ChatGPT Edu, ChatGPT for Teachers and our API Platform) and support for your compliance needs. Yes, we are able to execute a Data Processing Addendum (DPA) with customers for their use of ChatGPT Business, ChatGPT Enterprise, and the API in support of their compliance with GDPR and other privacy laws. For ChatGPT Edu and for Teachers, we process your data pursuant to our Student Data Privacy Agreement(opens in a new window). Exc…
Data residency for ChatGPT allows customers to keep their customer content stored at rest in a specific geographic region. Inference residency for ChatGPT
⚠️ This content has moved. The source of truth for Data Residency in the OpenAI API is our API documentation here: Data controls in the OpenAI platform.
Qualifying organizations are able to configure how long OpenAI retains business data, including opting for our zero data retention policy in the API platform.
Cookie settings. We use cookies to deliver and improve our services, analyze site usage, and if you agree, to customize or personalize your experience and market our services to you. You can read our Cookie Policy here. ### Terms and policies. # Remote MCP servers. Several companies have deployed remote MCP servers that developers can connect to via the Anthropic MCP connector API. These servers expand the capabilities available to developers and end users by providing remote access to various services and tools through the MCP protocol. The remote MCP servers listed below are third-party…
Token counting. Token counting enables you to determine the number of tokens in a message before sending it to Claude, helping you make informed decisions about your prompts and usage. With token counting, you can. ## How to count message tokens. The token counting endpoint accepts the same structured list of inputs for creating a message, including support for system prompts, tools, images, and PDFs. The response contains the total number of input tokens. All active models support token counting. ### Count tokens in basic messages. ### Count tokens in messages with tools. ### Count tokens…
Cookie settings. We use cookies to deliver and improve our services, analyze site usage, and if you agree, to customize or personalize your experience and market our services to you. You can read our Cookie Policy here. ### Solutions. ### Partners. ### Learn. ### Company. ### Learn. ### Help and security. ### Terms and policies. # Start building with Claude. Everything you need to integrate Claude into your applications. From first API call to production. model="claude-opus-4-7",. print(message.content[0].text)`. ## Choose how you build. ### Messages. You construct every turn, manage conv…
The Message Batches API is a powerful, cost-effective way to asynchronously process large volumes of Messages requests. When you send a request to the Message Batches API:. Test your batch requests with the Messages API. {{ "id": "msgbatch_01HkcTjaV5uDC8jWR4ZsDV8d", "id": "msgbatch_01HkcTjaV5uDC8jWR4ZsDV8d", "type": "message_batch", "type": "message_batch", "processing_status": "in_progress", "processing_status": "in_progress", "request_counts": { "request_counts": { "processing": 2, "processing": 2, "succeeded": 0, "succeeded": 0, "errored": 0, "errored": 0, "canceled": 0, "canceled": 0,…
Before you start Identified 2-3 concrete use cases Tools identified (built-in or MCP) Reviewed this guide and example skills Planned folder structure During development Folder named in kebab-case SKILL.md file exists (exact spelling) YAML frontmatter has --- delimiters name field: kebab-case, no spaces, no capitals description includes WHAT and WHEN No XML tags (< >) anywhere Instructions are clear and actionable Error handling included Examples provided References clearly linked Before upload Tested triggering on obvious tasks Tested triggering on paraphrased requests Verified doesn't trigge…
The Enterprise plan offers critical security and data management components including single sign-on (SSO) and domain capture for secure user access and centralized provisioning control, audit logs that trace system activities for security and compliance monitoring, system for Cross-domain Identity Management (SCIM) to automate user provisioning and access controls, and role-based permissioning that assigns a single primary owner of a workspace for security and information management. Based on the uploaded user feedback survey and analytics report, create a product requirements document for a…
As we show in our extensive system card, Opus 4.6 also shows an overall safety profile as good as, or better than, any other frontier model in the industry, with low rates of misaligned behavior across safety evaluations. . ![Image 3: Bar chart comparing Opus 4.6 to other models on Deep…
Skip to main contentSkip to footer. After working for the past few months with key partners like Notion, Quora, and DuckDuckGo in a closed alpha, we’ve been able to carefully test out our systems in the wild, and are ready to offer Claude more broadly so it can power crucial, cutting-edge use cases at scale. Claude is a next-generation AI assistant based on Anthropic’s research into training…
[Anthropic] - Claude 4 System Card. Copy link. View. [Anthropic] - Claude ... Claude Opus 4.7 Model Documentation Form. Copy link. Model Documentation for
Delete Invite - Claude API Reference. Create a MessageCount tokens in a Message. Create InviteGet InviteList InvitesDelete Invite. Rate limitsService tiersVersionsIP addressesSupported regions. # Delete Invite. DELETE/v1/organizations/invites/{invite_id}. ##### Path Parameters Expand Collapse. ##### Returns Expand Collapse. For Invites, this is always i.j4i.i2
Files API. The Files API lets you upload and manage files to use with the Claude API without re-uploading content with each request. You can also use the Files API to prevent having to continually re-upload frequently used documents and images across multiple API calls. The Files API is in beta. ## How the Files API works. ## How to use the Files API. i.j4i.i2
anthropic-beta: files-api-2025-04-14
. For file types that are not supported as i.j4i.i2
document
blocks (.csv, .txt, .md, .docx, .xlsx), convert the files to plain text, and include the content directly in your message:. For PDFs and text files, us…
Intro to Claude. The latest generation of Claude models:. Claude Opus 4.7 - Our most capable model for complex reasoning and agentic coding, with a step-change jump over Claude Opus 4.6. Learn more. Claude Sonnet 4.6 - Frontier intelligence at scale—built for coding, agents, and enterprise workflows. Learn more. Learn more. | | Messages API | Claude Managed Agents |. | Learn more | [Messages API docs](/docs/en/build-with-claude/…
List Invites - Claude API Reference. Create InviteGet InviteList InvitesDelete Invite. # List Invites. ID of the object to use as a cursor for pagination. When provided, returns the page of results immediately after this object. When provided, returns the page of results immediately before this object. Number of items to return per page. ##### Returns Expand Collapse. data: array of Invite { id, email, expires_at, 4 more }. Email of the User being invited. RFC 3339 datetime string indicating when the Invite expires. RFC 3339 datetime string indicating when the Invite was created. Organizati…
Messages - Claude API Reference. ### Solutions. ### Partners. * Google Cloud's Vertex AI. ### Learn. ### Company. ### Learn. ### Help and security. ### Terms and policies.
cap to 300k on the Message Batches API for Claude Opus 4.6 and Sonnet 4.6. * We've launched the compaction API in beta, providing server-side context summarization for effectively infinite conversations. * We've launched programmatic tool calling in public beta, allowing Claude to call tools from within code execut…
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. Read more. Read more. Read more. [Rea…Vertex AI Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. * [
](https://sourceforge.ne…
. Developers can use 
. 
. * Extended thinking with tool use (beta): Both models can use tools—like web search—during extended thinking, allowing Clau…
. 
. If you’re a developer, simply use