3d • Agents
Why Your AI Agent Forgets Your Client (And the Fix I'm Building in Public)
Most AI agent retainers don't die because the tech fails. They die because the agent never learned the client.
Every session runs from zero — no memory of corrections, rules, decisions, or context built over months. By month 4, clients feel it.
This week I built the fix: a CLIENT.md. Six sections that load at every agent session start. Entity memory, procedural memory, cross-session memory — scoped to one client, compounding every month.
The full breakdown is in this week's newsletter — including a worked example built against a 5-person SaaS founder running customer success automation.
📬 Read it here: https://rapidflowautomation.beehiiv.com
🤔 Curious — anyone else building a persistent context layer for retainer clients? What sections are you tracking that I haven't thought of?
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Why Your AI Agent Forgets Your Client (And the Fix I'm Building in Public)
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