A product discussed on AI Engineer.

A Piece of Pi: Embedding The OpenClaw Coding Agent In Your Product — Matthias Luebken, Tavon
May 11, 2026 · 20:42
Matthias Luebken explains how to embed Pi, the minimal coding agent SDK from OpenClaw, into real products, arguing that the key architectural principle is to make systems easy for agents. He demonstrates a B2B sales pipeline application where incoming RFP emails are routed to customer-specific agent sessions, CLIs expose CRM and ERP data cleanly, and the only human output is a draft in the user's inbox. The agent is purely an LLM calling tools in a loop, with Pi's extensions enabling UI interactions and session management. Luebken emphasizes that coding agents will become core building blocks for software, and Pi's minimal design is ideal for tinkering and learning.

The End of Apps — Kitze, Sizzy.co
Apr 23, 2026 · 20:18
Kitze, creator of Benji and founder of Tinker Club, argues that current productivity apps and AI agents are unreliable and too complex for most users, predicting a future where AI prompts humans instead of the reverse. He traces his 24-year obsession with productivity tools—from a childhood to-do list to building Benji with 60 features—and his move to self-hosting after the ChatGPT moment. Kitze critiques custom agents like OpenClaw as too tinkerer-focused, cloud agents like ChatGPT as too nerfed, and believes local models on devices (Apple, Google Pixel) will win for normies, enabling AI to automatically manage notifications, emails, and tasks. He shares his own experiment, Wolfer, designed for predictable multi-agent orchestration without memory systems, using nested topics for context. The episode delivers a strong claim: the role of AI will invert, with machines prompting humans for decisions while handling all background work.
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