geum @bokeum

Our latest economic research introduces a framework for tracking Claude Code as it scales. Who is using Claude Code, and what are they using it for? How is the value of tasks changing? And how much does domain expertise shape whether a session succeeds? anthropic.com/research/claud…

If I had 6 months to become an Agentic AI Engineer. I'd do this. Stage 1: Python + Async Foundations asyncio, FastAPI, event-driven architecture, error handling, API integration patterns. Stage 2: LLM Fundamentals for Agents Context management, model routing, token economics, latency tradeoffs, failure modes. Stage 3: Tool Calling + Structured Outputs Pydantic validation, function calling schemas, error recovery, dynamic tool discovery. Stage 4: Memory + State Management Short-term buffers, long-term vector recall, context compression, cross-session sync. Stage 5: Single Agent Workflows ReAct loops, plan-and-execute, self-reflection, iteration limits, graceful degradation. Stage 6: Multi-Agent Orchestration LangGraph/CrewAI, supervisor patterns, message passing, conflict resolution, handoffs. Stage 7: Human-in-the-Loop Systems Uncertainty detection, approval gates, audit trails, resume logic, intervention points. Stage 8: Evaluation + Quality Assurance Automated eval harnesses, LLM-as-a-judge, regression testing, hallucination metrics. Stage 9: Observability + Tracing Distributed tracing (LangSmith/Arize), cost dashboards, latency monitoring, alerting. Stage 10: Security + Guardrails Prompt injection defense, output filtering, PII redaction, sandboxed execution, compliance. Stage 11: Production Deployment vLLM/SGLang, Kubernetes scaling, CI/CD for agents, canary releases, rollback strategies. Stage 12: Open Source + Portfolio Ship autonomous agents publicly, write architecture docs, record demos, contribute to libs. Most people stay stuck watching tutorials. Builders get hired. (Bookmark it)

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We’re launching Claude Corps, a national fellowship program matching people early in their careers with US nonprofits. We'll teach 1,000 people to use Claude, and pay them to use AI to advance their hosts’ missions. anthropic.com/claude-corps

Lots of people asked how I used Fable to edit its own launch video so I made a video about that! TLDR it wrote a lot of code & tool calls to use transcription services, ffmpeg, do colorgrading, use the figma mcp, make remotion UI and render it. I didn't touch a video editor.

ANTHROPIC'S CLAUDE FABLE 5 SYSTEM PROMPT JUST LEAKED Someone extracted the full internal system prompt from claude fable 5 and it's a goldmine for anyone building with llms here's what's actually inside: ▫️ fable 5 and mythos 5 share the same underlying model fable is the public version with extra safety guardrails, mythos goes to approved orgs only ▫️ model strings exposed: claude-fable-5, claude-opus-4-8, claude-sonnet-4-6, claude-haiku-4-5-20251001 ▫️ knowledge cutoff is end of jan 2026 but claude is instructed to web search anything that might've changed ▫️ detailed instructions on when NOT to be sycophantic no excessive apologies, no self-abasement, maintain self-respect even when users are rude ▫️ artifacts get persistent key-value storage via window.storage enabling journals, trackers, leaderboards across sessions ▫️ strict copyright rules baked in hard limit of 15 words per quote, one quote per source max, never reproduce lyrics or poems ▫️ memory system is opt-in claude only has memories if the user enables it in settings ▫️ claude can now end conversations with an end_conversation tool if users become abusive ▫️ full mcp app integration logic connectors need opt-in before claude calls third-party tools on your behalf the most interesting part? how much of claude's "personality" is explicitly engineered in the prompt vs emergent from training. github repo: github.com/elder-plinius/…

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introducing gemini 3.5 live translate, our latest audio model: - low-latency translation across 70+ languages - auto-detection for multilingual inputs in a single session - native audio processing that preserves pitch & pacing - robust noise filtering for loud environments try it in public preview via the gemini live api and ai studio

You have Claude Fable for only a few days. Here's how to make the most of it. Introducing /improve: use your most capable model to audit your codebase and write plans for cheaper models to execute later. Studies your code, figures out bugs, perf, tech debt, missing tests, what to build and writes plans any agent can run.

Cybersecurity and biosecurity requests may auto-reroute to Opus 4.8 (shown in the UI, billed at Opus prices). Docs + prompting guide: platform.claude.com/docs/en/build-…

Fable 5 is state-of-the-art on nearly all tested benchmarks, with exceptional performance in software engineering, knowledge work, scientific research, and vision. The longer and more complex the task, the larger Fable 5’s lead over our other models.

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.

Claude Fable 5 changed how we work on the Claude Code team day to day. We used to verify that Claude did the work right. Now we verify that it's doing the right work. Here’s the 3 biggest changes:

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How do we automate business analytics with Claude? New blog post covering our best practices for skills, data foundations, and evaluations when building agents to perform data analysis: claude.com/blog/how-anthr…

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GPT Image 2 on Chatgpt Prompt: Turn this photo into a Vogue-style fashion illustration, preserving the subject's identity, facial features, and likeness. Minimalist hand-drawn sketch with elegant elongated proportions, bold black ink contours, loose confident linework, flat marker colors, and subtle blush accents. Stylized eyes, graphic lips, expressive ink hair, and simplified geometric clothing shapes. Clean white background, scanned paper texture, modern luxury editorial fashion illustration. Do not add any text.

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Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors. Available today at the same price.