Tag: agents
All the articles with the tag "agents".
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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.
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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.
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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.
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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.
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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.
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AI Didn't Reduce My Work. It Expanded What Work Means.
Everyone I talk to who works natively with AI says the same thing: more hours, more exhausted, more engaged than ever. The paradox is real — and there's a specific mechanism driving it that most productivity research misses.
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Your AI Agent Needs Communication Modes, Not a Voice Clone
Every AI platform treats voice as a single axis. But knowledge workers switch between six distinct communication registers daily. The fix is mode-specific profiles — engrams — not better cloning.
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llms.txt — Making Your Site Navigable by Agents
HTML was designed for browsers. llms.txt is the interface layer that makes your site a first-class citizen in agent workflows — discoverable, consumable, and citable in a single request.