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I Stopped Hoping My LLM Would Cooperate

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I Stopped Hoping My LLM Would Cooperate

42 validation errors in one run. Claude apologising instead of writing HTML. OAuth tokens expiring mid-digest. Then I fixed the constraints. Eight days, zero failures, zero intervention. The secret wasn't better prompts... it was treating the LLM as a constrained function: schema-validated tool calls that reject malformed output and force retries, two-pass architecture separating editorial judgment from formatting, and boring DevOps (retry logic, rate limiting, structured logging). The Claude invocation is ~30 lines in a 2000-line system. Most of the work is everything around it. https://seanfloyd.dev/blog/llm-reliability https://github.com/SeanLF/claude-rss-news-digest

Visit productView on Hacker NewsJan 27, 2026
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3points
Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting
50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: 000, io · Missing: https docs, excited, just released
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nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: claude, new · Missing: mac, agents, macos
47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: calls · Missing: plus, platform, intuitive
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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