Fable 5 is back — Anthropic's most capable model, the one the government pulled offline. No benchmarks this time. I gave it four one-paragraph jobs on Ultra Code, no handholding, and it built four complete, real projects. Two businesses, two games. It didn't break. - A full go-to-market machine from one prompt. A real Next.js funnel (6 pages, Stripe test checkout), an 8-page PDF lead magnet, 11 generated images, 6 UGC video ads, and 30 personalized cold-email drafts — even its own honest disclaimer, unprompted. ~2 hours, ~1M tokens. No other model one-shots all of that. - Two games that shouldn't be possible from one prompt. Minecraft ("VoxelCraft") with its own chunk + lighting engine and a live engine HUD — next to Opus's version it's not a fair fight. And a GTA-style open world ("NEON BAY"): a ~600-building neon city with day-night, drifting cars, traffic, and a full wanted system. It even stress-tested its own police chase at 60fps. - It fixes its own mistakes. When its 5-agent code review hit rate limits and died, it said so, did the review by hand, and found + fixed four real bugs. It's not that it never breaks — it tells you and fixes it. - A full brand launch campaign inside HyperAgent. From one prompt: live research, 16 images, 6 videos, a 30-second scored film (with a real Street View of the address), a pitch deck, and a live page — an agency-grade package. Honest label: Fable directs; Veo/Gemini render. - The catch now it's back. Guardrails came back way up (it quietly falls back to Opus on normal coding), and it's expensive — ~$10/$50 per million, double Opus. Pro/Max/Team get it free for up to half your weekly usage through July 7, then pay-as-you-go. My take: it's a specialist, not your daily driver. Don't point it at little tasks — hand it the big, scary, one-shot jobs (the whole app, campaign, or migration you've been dreading) where a single good run pays for itself. 📎 Full breakdown PDF pinned below — all four builds, the exact prompts, the rough edges, and what changed now it's back.

The model I reach for first now isn't Opus. It's GLM 5.2 — a free, open-source model that's days old, runs right inside Claude Code, and on most of my daily work is so close to Opus (5x the price) I genuinely can't tell them apart. I gave both the exact same prompts. Here's the honest result. - Same prompts, both models. A sponsorship CRM app: GLM's was complete and worked (Opus's looked a hair nicer) for $0.40 vs $3. A Minecraft voxel world and an orbiting solar system: both nailed first try, and side-by-side you can't tell which came from which. - Where Opus won. A 30-second launch video. Opus shipped it in one clean 51-min run; GLM broke when its context filled up and needed retries — still $2 vs $14. Opus only really pulls ahead on the longest, hardest jobs. - Why it's cheap. 700B+ parameters but only ~40B switch on per task (mixture-of-experts), plus a ~1M-token window that holds your whole project. About 5–6x cheaper than Opus per token, and the gap widens on big jobs. - Why open-source matters. When Fable 5 got switched off overnight, everyone building on it had no say. An open model nobody can switch off is worth more than the price tag. - Run it three ways. OpenRouter (pay-as-you-go, ~2-min setup — point Claude Code at it with a tiny settings.json), Z.ai's flat ~$18/mo plan (daily use, official), or fully local for private data (but that needs ~$10k of hardware, so most people start on OpenRouter). My take: it doesn't replace Opus — it replaces most of when I used to reach for it. GLM's my default now; Opus stays in my back pocket for the jobs that have to be perfect first try. 📎 Full GLM 5.2 guide PDF pinned below — every build, the benchmarks, the cost, and the exact setup. Every prompt and the full setup are free inside The AI Accelerator (19k+ members). 👉 If you got it running, what's the first thing you'd build with it? Drop it below. [Watch the video here ▶️]

Most AI agents are toys for two reasons: they can't run on their own without you hitting go, and they can't safely use a real API key. About a week ago (June 9) Claude fixed both in Managed Agents. So I ran it against a real production checklist and built one live. - What it is. Managed Agents = hiring Anthropic as the landlord for an AI worker. It runs in their locked sandbox, on a schedule, using your tools, and hands back a finished result. Three words: the agent (job + tools), the environment (the safe computer), the session (one run). - What just changed. Deployments = it now runs on a recurring schedule (finest is once a minute), Anthropic fires it for you. Vaults = a tool gets your API key as an env variable, but the agent never sees it — it's swapped in only to the addresses you allow. - The build. One plain-English prompt made a "morning email brief" agent: read the last 24h of Gmail, sort into needs-reply / FYI / ignore, post to Slack. It wrote its own config, locked networking to just Gmail + Slack, and even created the Slack channel when it didn't exist. - The new part: deployments. Attach the vault, tick "I'm authorized," set the trigger to a schedule (weekdays 9am), done. No server, no scheduler to host — my inbox is triaged in Slack before coffee. - Honest verdict. Real step toward production, not set-and-forget. Logs/retries/approval gates are there out of the box; you still add your own alerting and testing. It's beta, the key trick only works for straight key-passthrough (AWS-style signed logins don't yet), and the floor is 1 minute. Daily briefs/reports: ready now. Customer- or money-touching jobs: keep a human in the loop. My take: for the simple, on-time jobs that just need to happen without you, this crossed the line from toy to worker. Cost is tiny — ~$0.08 per session-hour, idle is free, pennies a morning. 📎 Full Managed Agents guide PDF pinned below — the production checklist, the console tour, the exact build, and the cost breakdown.

Most people hear "Claude Code" and picture a tool for programmers. I run my whole business on it and have never written a line of code. It's not a chatbot — it's one place that holds your business plus a team of AI workers that actually do the work. Here's the exact setup, every piece that matters. - The model. You're the operator in the middle: your AI team on one side, your real tools (email, docs, CRM) on the other. You hand it jobs, not questions. Anthropic's own legal and marketing teams run real work on it without coding. - The building blocks. CLAUDE.md (memory — your business in plain text, read every conversation), Skills (your SOPs it follows every time), Plugins (box up your skills and hand your team the whole setup in one command), Subagents (specialist "departments" that run in parallel), and MCP (the plug into your real tools). - Staying in control. Plan mode (it writes the plan, you approve), permissions (it asks before changing or sending anything), and an undo button. You still sign off on money and anything client-facing. - Make it run without you. Hooks (auto-check every draft), your own one-word commands, and schedules ("every Monday 8am, build my competitor brief"). Start with the local schedule; the cloud one needs a repo. - The honest part. It's not a magic button — Anthropic's Project Vend had it run a shop and lose money. It bills by usage, so start small and watch it. Garbage in, garbage out. Golden rule: nail ONE workflow three times before you expand. My take: set up right, your job changes from doing the tasks to directing the work and checking the output. That's running a team — you just built this one out of files and instructions instead of hiring for every seat. 📎 Full Claude Code for Business guide PDF pinned below — the building blocks, the controls, the automation, and the real costs. The doc and templates are free inside The AI Accelerator (19k+ members), and if you'd rather we set it up for your team, that's what we do at Reprise.

Every couple of months a new AI tool drops and you start from zero — Cursor, then Claude Code, then Codex, now Hermes. It doesn't have to be that way. The thing worth building isn't a Claude or Codex thing; it works in every tool that exists. - Two layers. You RENT the engine (Claude Code, Codex, Hermes, Gemini CLI — always changing) and you OWN the folder (your files, rules, skills, connections). Every hour you put into Claude Code went into the folder, not the engine. - Why it's portable. Tools read a rules file on start (CLAUDE.md / AGENTS.md, one line points one at the other), skills are an open standard (same file everywhere), and apps connect via MCP — the shared plug Anthropic, OpenAI, and Google all adopted. - The proof. Same one-line prompt, same folder, run in Claude (Opus 4.8) and Codex (GPT 5.5). Both built the same client report — same structure, same red "5 cancellations" warning I never asked for — because that warning lives in one line of my AGENTS.md. ~30 seconds each; an hour by hand. - Four habits that don't expire. Ask for outcomes, not steps. Keep the truth in files (chat history isn't memory). Correct things in the rules file, not in the moment. The first time you repeat a prompt, turn it into a plain-English skill. - The filter for new tools. Every release has two prices: "the what" (a minute) and "the how" (a weekend). One question before you pay the weekend — does it solve a problem I have today? If not, save the link and keep building. My take: stop being a "Claude person" or a "Codex person." You own the folder. The folder is the car; the engine is rented. Swap it when something better ships and keep driving. 📎 Full tool-proof guide PDF pinned below — the two layers, the side-by-side proof, the four habits, and a starter-folder checklist. We build setups exactly like this inside The AI Accelerator (free, 19k+ members). 👉 Which tool have you been feeling guilty about not learning? Run it through the one question and tell me if it survives.