Building AI Agents: 20% Coding, 80% Explaining Probabilistic Software
truecakesnake · reddit · 2026-07-29
Conversations with founders and developers reveal a massive gap between AI agent demos and real-world user expectations. Users are often fooled by 40-second flawless demos, assuming the hard part is over, while ignoring complex real-world issues like permission boundaries, tool misfires, and missing documents.
The article highlights several common patterns:
- Messy Data Sources: Expecting agents to magically resolve conflicts among multiple outdated company docs.
- The Permission Paradox: Wanting agents connected to email, Slack, and CRMs to act autonomously without confirmation while never making a mistake or leaking data.
- Poor Generalization: A research agent that performed flawlessly in internal demos gets stuck in a loop simply because an external user phrased a request differently.
The author concludes that building agents is now 20% coding and 80% explaining that a polished chat UI doesn't magically turn probabilistic software into deterministic logic.
Related event: AI Agent Reality: Detecting Silent Errors is the Real Time Sink(2 posts)→
More from AGI Musings
- AI is now propping up GDP, productivity, and even job growth, poster says — Dan_Jeffries1 · 2026-07-29
- Paper argues AI’s productivity paradox needs an attention reinvestment cycle — lawrennd · 2026-07-29
- AI safety debate splits over whether stigma helps or harms epistemics — evilsocket · 2026-07-29
- Why assume AGI will be a goal-maximizing system at all? — Jason_T_Jungreis · 2026-07-29
- AI is now too complex to understand, says the author, who is backing open source — karmicoder · 2026-07-29
- ‘Ghost Thought’ describes AI finishing your thoughts before you fully form them — Kyrannio · 2026-07-29