Anthropic published its internal onboarding curriculum for new hires, which teaches a four-part framework for managing AI work: deciding what to delegate, describing intent and constraints clearly, evaluating outputs critically, and taking responsibility for results. Prompting is just one quarter of one competency—the other three quarters focus on choosing the right tasks, reviewing AI output, and owning what gets shipped. Some people are now repackaging this free, publicly available material as paid courses.

• Anthropic publicly released its internal 4D onboarding framework (Delegation, Description, Discernment, Diligence) for free under Creative Commons, complete with a certificate—yet people are already reselling it as paid courses.
• Prompting is just one component of "Description," meaning it accounts for roughly 25% of one out of four competencies, not the whole picture of working effectively with AI.
• The other 75% involves judgment calls: deciding what to delegate to AI, critically evaluating its output, and taking responsibility for what ships.
• Anthropic trains employees to recognize specific model failure patterns on an ongoing basis ("ever-boarding"), treating output evaluation as a continuously developed skill rather than a one-time lesson.

A team member at Anthropic shared the exact LOOPS.md file Andrej Karpathy uses. When loaded into Claude, it shifted the model from generic replies to responses tailored to the user’s thinking. The approach highlights building a system prompt layer rather than chatting directly with the model.

• A supposed Anthropic teammate shared Karpathy's "LOOPS.md" file, claimed to be his personal prompt-engineering setup for Claude.
• The pitch is that using it shifts Claude from generic answers to step-by-step responses matching the user's own thinking style.
• The core concept: treat Claude as wrapped in a system layer (templates, token budgets, chain-of-thought triggers, multi-pass refinement protocols) rather than prompting it directly.
• Framed as urgent/scarce content ("save it before it disappears"), a hallmark of unverifiable social-media hype rather than a sourced claim.

An Anthropic team member shared the internal Claude.md prompt template that Andrej Karpathy uses. Applying this file made Claude stop resisting and deliver exactly the responses the author needed.

• A tweet claims an Anthropic team member shared an internal "Claude.md" prompt template attributed to Andrej Karpathy that reportedly makes Claude follow instructions more reliably.
• Karpathy reportedly joined Anthropic five weeks before this post.
• The file allegedly includes formatting rules, tone settings, and error-handling steps meant to reduce vague or evasive Claude responses.
• The claims come from secondhand reports (a "friend") rather than verified sourcing or a linked deep-dive.

Boris Cherny breaks down nine common habits that burn most of your Claude tokens before the model even sees your prompt—loading CLAUDE.md, rereading chat history, forgotten hooks, and more. He shows how each pattern eats into your limits and why complaints about “Claude getting dumber” usually miss the real culprit.

• The article provides no actual list of the nine habits, specific hooks, or countermeasures beyond vague category names—despite claiming precise percentages for each.
• The claimed source (a tweet/profile labeled "Mnimiy @Mnilax") doesn't match the detailed narrative about Boris Cherny, a podcast episode, and 400 hours of usage data, suggesting fabricated or unverifiable attribution.
• The specific statistics (73% total, 14% for CLAUDE.md, 13% for chat history, 11% for hooks) are presented with false precision but no methodology or source is given for how they were measured.