Agent Products Are Fundamentally Decision Systems
annetgriffin · x · 2026-07-15
The author argues that the key to building agentic products isn't just piling on capabilities, but designing them as an "intentional decision system."
This emphasizes that the real challenge of agent products lies in decision-making processes, defining judgment boundaries, and execution logic, rather than just the model itself.
More from coding & agent
- HeyGen adds a media-sourcing skill for coding agents with 75k images and 10k tracks — HeyGen · 2026-07-22
- Agent search bottlenecks are now about variance, not raw latency — rohanpaul_ai · 2026-07-22
- LangSmith adds tracing for Pipecat, LiveKit, OpenAI Realtime, and Gemini Live — LangChain · 2026-07-22
- An MCP server signs every AI agent tool call into a verifiable Merkle chain — Funky_Chicken_22 · 2026-07-22
- Annotated transcript of a Claude Code team interview is now available — trq212 · 2026-07-22
- Claude Code skill uses 10 Markdown rules to make outputs ADHD-friendly — alex_verem · 2026-07-22