If you want to install only one Deep Research AI app, ChatGPT is the safest all round starting point; if your priority is checking sources, choose Perplexity; if your work lives in Google tools, test Gemini...
AI can help most as a first pass assistant for 7 concrete tasks: brainstorming, drafting, meeting summaries, scheduling, budgeting, health and fitness routines, and clearer communication.
DeepSeek is best understood as three related things: a Chinese AI startup, a free AI chatbot and a family of models that includes DeepSeek R1.[2][4]
There is no simple yes or no answer: DeepSeek may be acceptable for public, low risk prompts, but it should not be treated as a safe place for sensitive personal, company or regulated data.[4][8]
Gauth’s core homework workflow is to photograph a problem, upload it, and review the step by step or expert supported solution it returns; the caveat is that the available sources document advertised feature...
The safest workflow is: split the answer into claims, open the sources, trace claims to original documents, cross check independently, and label each claim by confidence.
AI is not automatically cheating. The key questions are whether the course or assignment allows it, whether disclosure is required, and whether the student is passing AI output off as their own core work.
If you want one main AI research workspace, start with ChatGPT. If your first priority is fast source discovery, try Perplexity.
AI is most clearly supported for assisted customer service: Google Cloud describes AI generated solutions for support questions, and Microsoft highlights Conversation Summary and Case Summary for agents.[1][2]
For checking facts from the web, Gemini is the best supported choice in the sources available here because Google documents Gemini grounding with Google Search [1][2].
Anthropic explicitly says Claude Opus 4.7 has “substantially better vision” than Opus 4.6 and can handle higher resolution images, so there is solid official support for an overall vision upgrade.[9]
Claude Opus 4.7 is listed in Anthropic API pricing at $5 per million input tokens and $25 per million output tokens, with separate rates for prompt cache writes and cache hits.[19]