Tag: agents
All the articles with the tag "agents".
-
The Missing Middle: Why AI Chiefs of Staff Fail Without Calendar Materialization
Every AI Chief of Staff tool tells you what matters. None of them answer 'when will I do it?' The gap between a morning brief and actual execution is calendar materialization — and without it, triage is noise with structure.
-
The Meta-Tool Pattern: Teaching Your Agent to Discover Its Own Tools
The MCP token tax has a fix. The solution isn't fewer tools — it's a smarter way to load them. Here's the pattern.
-
Building the MCP Proxy: What Broke and What I Changed
The proxy pattern from part two, built and debugged. Two things broke: a missing dependency that crashed startup silently, and a response format that made the model do unnecessary work.
-
The MCP Token Tax
MCP won the read path. The token tax is what happened next. And the write path still doesn't have an answer.
-
Memories Fade. Skills Persist.
When an agent makes a mistake, you have two choices: write it down or encode it. One survives the next session. One doesn't.
-
Your Agent Needs Six Voices, Not One
A single system prompt persona doesn't scale. When agents run at speed across contexts, voice consistency requires something more durable.
-
Two AI interfaces. Same desktop. Completely different jobs.
Running two AI tools built on the same model — one for co-piloting, one for delegating. A non-developer's frame for splitting knowledge work by workflow mode.
-
AI Collapsed the Startup Advantage. Enterprises Just Haven't Noticed Yet.
The startup playbook depended on code being expensive. AI made code cheap. What's expensive now — data, distribution, domain expertise — is what enterprises already own.