Ground an assistant in only the documents you upload.
NotebookLM answers from the sources you add and cites them, which is the right tool when the answer must come from a defined set of documents and nothing else.
Use a search-first assistant for questions where the answer must come with sources.
Perplexity runs web searches and writes an answer with inline citations, which makes it useful for current facts and for finding sources fast; the citations, not the prose, are the product.
Build saved article to sourced note as a n8n automation: when you save an article, fetch it, summarise it with a citation block and file it in your research database.
Trigger: New item in a read-later service or a Slack reaction.
Wrap a model tool call so bad arguments are caught and retried once with the error shown to the model.
Models sometimes emit arguments that do not match a tool's schema; executing them blindly causes errors deep in your code, while failing hard wastes the run.
Use OpenAI's agent tooling for tool calling, file search and structured outputs.
OpenAI's agent APIs provide tool calling with JSON schemas, built-in file search and code execution, and structured outputs that force a response shape, which covers most single-agent business tasks without a framework.
Build agents that use tools with the same loop Claude Code uses.
The Agent SDK gives you the agent loop, tool definitions, permission hooks and session handling that Claude Code is built on, so an agent that reads files, runs commands or calls your APIs is configuration plus your tools rather than a hand-written loop.
Use Notion AI to summarise, draft and fill properties inside the pages and databases you already keep.
Notion AI acts on the page or database you are in: it summarises pages, drafts sections, translates, and can auto-fill database properties such as a summary or a category from the page content.
Workflow: Auto-summarise meeting notes
Workflow: Draft from an outline
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