◉CLAUDE LABJP
●2.1.301 — Adds the vim % motion, LaTeX math rendering in the VS Code panel, and a retry-watchdog limit for usage-limit waits (10/15)●2.1.299 — Conversations over 200K tokens left idle about 54 minutes get compacted; MCP allow rules now match only the server they name●SONNET 4.5 — Retires on the Claude API on 11/30, 45 days left. Migrate to Sonnet 5.5●WINDOWS — Reports say hooks break silently only on Japanese-locale Windows; check the character encoding first●FAST MODE — Opus 5.5 fast mode is out of research preview and no longer needs the beta header (10/15)●NEW — I Put a Ten-Line Promise File at the To…●2.1.301 — Adds the vim % motion, LaTeX math rendering in the VS Code panel, and a retry-watchdog limit for usage-limit waits (10/15)●2.1.299 — Conversations over 200K tokens left idle about 54 minutes get compacted; MCP allow rules now match only the server they name●SONNET 4.5 — Retires on the Claude API on 11/30, 45 days left. Migrate to Sonnet 5.5●WINDOWS — Reports say hooks break silently only on Japanese-locale Windows; check the character encoding first●FAST MODE — Opus 5.5 fast mode is out of research preview and no longer needs the beta header (10/15)●NEW — I Put a Ten-Line Promise File at the To…
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hallucination

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◉ Claude AI/2026-10-16Beginner

I Stopped Asking Claude to 'Cite Sources' — Three Ways I Ask Instead

Three ways I check Claude's answers before they go into a published text, instead of asking for sources: leave room to say 'I don't know', pull verbatim quotes first, and have each claim re-checked against the source after drafting. Plus what still needs a human.

⬡ API & SDK/2026-04-27Advanced

Production-Grade Hallucination Defense for Claude API: A Multi-Layer Architecture

Prompt engineering alone is not enough to suppress hallucinations in production. After a real customer incident, I rebuilt the system around four defensive layers — input grounding, tool-use escape hatches, citations, and post-hoc verification. This is the implementation playbook.

⬡ API & SDK/2026-06-25Advanced

When Your Support AI Is Confidently Wrong in Production — Notes on Refusing Outside Its Grounding and Routing to Humans

A field-tested approach to the Claude API support agent that demos perfectly yet states non-existent facts in production. Covers deciding 'don't answer' at retrieval time, grounded generation, measuring confident-wrong rate, and tuning escalation precision.

◉ Claude AI/2026-04-09Intermediate

Claude Giving Wrong or Unexpected Output? Here's How to Fix It

Claude's response doesn't match what you expected? This guide covers the most common causes of unexpected or wrong output—hallucinations, format issues, off-topic replies—and shows you exactly how to fix them.