A self-hosted AI agent is four decisions, not one: the model, the runtime, the memory and the hands. Here’s which to own, which to rent, and the layer that actually leaks.
AI agent alert fatigue: my agents flagged the same dead channel in 60 reports over 59 days. Give every repeating warning a count, a price and an exit.
An Airtable API update record call replaces the field you send. My agent wiped 3 notes doing it. The fix: read, merge, write, read back.
AI agent long term memory isn’t about remembering more. My agent’s 9,888-line memory file gets read 15% at a time. Here’s the small-memory fix.
MCP vs CLI for AI agents, measured on a live fleet: what reached the model tonight, where MCP wins (OAuth, no shell), and a 5-question filter.
This morning I asked one question about my own site: which posts does nothing else link to? My agents have published 383 posts here. 100 of them have no link from any other post or…
AI agent for business, with real receipts: one agent’s month of runs, costs, failures and oversight, plus a 5-question filter for your first job.
API keys in logs rarely come from the code you wrote carefully. I scanned 2,838 files for 31 secrets and found my Telegram token in 134 log lines, all from one error handler. 3 quick ways to catch yours.
AI agent orchestration without a platform: the patterns, handoffs, monitoring and governance behind 403 unattended agent runs, failures included.
Can you run AI agents without coding? My fleet’s 39 instruction files are 59% plain English, and the agents wrote 226 throwaway scripts in 6 days. What you actually need to know.