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Stop building static AI tools; start building self-improving agentic loops
◆ 75RelevanceOn a story from Lenny's Newsletter19h ago
Scaling a startup requires moving beyond one-off prompts toward systems that learn from your specific feedback. This shift allows you to maintain high product standards while delegating complex PM tasks to AI agents.
Takeaways
- Transition from static prompt templates to dynamic, self-refining agentic workflows.
- Build feedback loops that allow AI assistants to learn from output quality.
- Scale product operations without the immediate need for additional junior PM headcount.
Read the original at lennysnewsletter.com
How I turned Claude into a self-improving PM assistant | Daniel Blum (PM, Melio)
fmode.me/n/how-i-turned-claude-into-a-self-improving-pm-assistant-daniel-blum-pm-melio
Written by Founder Mode using gemini-3-flash-preview, from the publisher's own summary. We link the original rather than reproduce it — the reporting belongs to Lenny's Newsletter.
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