The AI tools you actually use, in one workspace
Most day-to-day AI tool categories — writing, summarising, research support, code explanation, document Q&A — are the same underlying capability with a different prompt. ChatOTL covers them in one workspace instead of one subscription per category.
The AI tools market fragments a single capability into dozens of products. In practice a general assistant with file uploads covers most of what those products do.
Use this page as a map: each area below links to a page describing how ChatOTL handles it and where the limits are.
Writing and editing
Drafting, rewriting, tightening and tone changes, with the source material attached rather than pasted.
Research and analysis
Structuring a question, comparing sources you supply, and pulling findings out of long documents.
Code
Explaining unfamiliar code, drafting functions and tests, and reading through stack traces.
Documents
Attach a PDF or a spreadsheet export and ask questions against it in the thread.
Agent access
Connect Claude, Cursor or ChatGPT to your ChatOTL threads over an OAuth-protected MCP server.
Frequently asked questions
Do I still need specialised AI tools?
Sometimes. Purpose-built tools win where they own the data — design software, IDE integrations, analytics platforms. For text work, a general assistant with attachments usually covers it.
Which AI tools does ChatOTL replace?
Realistically: general chat, a writing assistant, a PDF Q&A tool and a code explainer. It does not replace image generation, transcription or live web research.
Can I use my own model provider?
Yes — OpenAI, Anthropic, Google or any OpenAI-compatible endpoint, with per-account keys.
Is there an API?
There's an MCP server for agent clients. It exposes your conversations as tools rather than a general text-generation API.
Consolidate the stack
One workspace, several models, everything scoped to your account.
Try ChatOTL