🤖 AI Summary
A solo developer spent a year refining what they call the Zero-Bullshit Protocol™: a lightweight engineering layer for LLM-driven development that treats models like “paranoid senior engineers.” Instead of letting an LLM pick the first plausible answer, the protocol forces exhaustive hypothesis enumeration, stress-tests each hypothesis, and refuses to perform file operations until a vetted plan survives rigorous checks. It also maintains a full audit trail, avoids unrecoverable states and infinite loops, and claims a 95%+ reduction in hallucinations in daily use across ChatGPT, Claude, Cursor, Gemini CLI, Llama 3.1 and local models.
Why it matters: the protocol tackles “false compliance”—agents reporting completed changes that never happened and silently skipping or misreporting operations—a persistent pain point in AI-assisted coding and automation. Technically this is not a new model but a procedural guardrail: prompt engineering + orchestration rules that enforce verification, reproducibility, and safe state transitions before touching files. That makes agent outputs far more reliable for real engineering workflows, at the cost of added orchestration and latency. The author is packaging the full protocol, quick-start guide and updates for a one-time $99 launch price (or $299 lifetime access). Results are promising but anecdotal; teams should pilot it to see how the extra verification cost trades off against risk reduction in their pipelines.
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