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Author @adxtyahq warns “Agents f*ck up, and no one finds out until it's too…

2026-07-28 · 17:22 UTC ·@adxtyahq ·0 min read

Brief

The post by @adxtyahq argues that once AI agents are deployed—making decisions, calling tools, and interacting with users—reliability, not model IQ, becomes the central risk; the author cites GPT, Claude, and Gemini as increasingly capable models and endorses Lemma (@uselemma_ai) as a solution, linking to uselemma.ai with a prompt to try it.

Why it matters

Author @adxtyahq warns “Agents f*ck up, and no one finds out until it's too late,” arguing post-deployment reliability is a bigger problem than raw model intelligence (mentions GPT, Claude, Gemini).

Key details

  • Author highlights Lemma (@uselemma_ai) as an agent observability tool and links its landing page with a CTA: “Catch agent failures before it’s too late — Try today: uselemma.ai.”
Source evidence

"Agents f*ck up, and no one finds out until it's too late."

The conversation around AI has mostly been about which model is smarter. GPT, Claude, Gemini... they're all improving incredibly fast, but once you deploy an agent, reliability becomes a much harder problem than raw intelligence

The real challenge starts after deployment, when agents are making decisions, calling tools, and interacting with users. Excited to see @uselemma pushing the agent observability space.

Lemma (@uselemma_ai)

Catch agent failures before it’s too late

Try today: uselemma.ai

Video

— https://nitter.net/uselemma_ai/status/2082149747704664129#m