AI Product Playbook · Mar 19 Daily Digest
Vibe Coding Updates
- 🔥 Google AI Studio Vibe Coding: Tomorrow Google will unveil a new vibe coding experience in AI Studio rebuilt from scratch...

Created by David Hogan
Hands‑on AI product case studies, frameworks, vibe‑coding, and evaluation playbooks for PMs
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Prime case study for AI PMs building agentic evals.
Eragon raised $12 million in seed funding to build an AI operating system for enterprise that makes software look more like a prompt – a blueprint for prompt-native UIs in AI products.
Key AI patterns for AI-native Docs/Sheets from Gemini expansions:
Game-changing local AI memory for documents via OCR-Provenance MCP—permanent, semantically searchable storage with SHA-256 provenance chains to...
Benchmark evals flop in production—failures stem from non-model issues, not quality. Strands Evals provide a systematic fix for PMs:
Playbook for production AI agents:
Emerging vibe coding ecosystem accelerates AI-native prototyping for PMs:
AI PM playbook: Filter early to avoid costly slop in production.
Hands-on PMs: Build robust eval layers with these trends.
Emerging trend treats context as first-class infrastructure for production AI:
Key Agent Development Kit (ADK) patterns for PMs building self-correcting multi-agent systems:
Awarity's framework guides evaluating AI tools for meaningful business impact—crucial for PMs amid hype, since not every shiny new tool delivers.
Essential safety guardrails for healthcare AI platforms:
Use this NAIC-style checklist to build compliant AI products.
Manus Desktop's My Computer brings AI agents to local files/apps—key playbook for building desktop automation.
Top lever for reliable AI features: Synthesize meta-prompting, memory architectures, and positive instructions to combat context overload.
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Key pitfalls checklist for production AI agents: