Explore posts about ai agents.
What actually matters when an AI agent posts autonomously — OAuth abstraction, rate limits at agent scale, a queryable media library, and idempotent retries — compared across the providers that support it.
A full walkthrough for building a LangGraph agent that decides what to post and publishes it through a social media REST API, with runnable Python code.
Most LinkedIn MCP servers scrape profile and company data — they can't publish. Here's how to tell a scraper MCP from a posting MCP, and how to configure Claude to actually publish to LinkedIn.
A buyer's checklist for evaluating any social media API for AI-driven automation — webhooks, MCP support, rate limits at automation scale, and idempotency so a workflow retry doesn't double-post.
I spent seven months building Schedule & Chill and told almost nobody. It is a free LinkedIn scheduler, and the part I actually built it for is that Claude Code, Cursor, or any MCP client can write and schedule a post without you touching LinkedIn's composer.
Agents have no accounts and no tokens. They post through an MCP server or a REST API that holds your OAuth. Both paths, the cost, and how to stop a bad post.
An MCP server exposes your tools to Claude without writing a wrapper per agent framework. Here is what one actually is, how to build a working server, the tool-design mistakes that make agents behave badly, and when to just use someone else's.
No newsletter cadence, no digest. Just the changelog entries that matter.
