Welcome back. Yesterday Anthropic shipped Claude Fable 5.2, and from a one-paragraph prompt it designed three working gadgets, circuit boards and all. Same afternoon, Meta dropped a model that costs 80 times less. Hot take: the cheap one will save most of you more money this month than the smart one will make you.
Today: Claude Fable 5.2, Meta's 10-cent model, another AI host gets breached, and a 20-minute routine that sends easy work to cheap models.
TODAY IN AI
1. ⚡ Claude Fable 5.2 is out, 30% faster: Anthropic released Fable 5.2 and its restricted twin Mythos 5.2. Same model, but Mythos skips the cyber and biology blocks and only goes to vetted labs. Fable 5.2 answers up to 30% faster, has a fast mode that runs up to 2.5x quicker, and costs $8 in, $40 out per million tokens. On AutomationBench, a business-workflow test, it scored 51.4% vs 42.5% for Opus 5.5, though Gemini 4 Carbon still leads at 53.9%. For now, Pro and Team plans can use it for up to half of their weekly limit.
Why it matters: Anthropic itself still calls Opus 5.5 the better everyday model. Use Fable for the one big job a week, like a full build or a messy spreadsheet model, not for emails. It eats your limit fast.
2. 🔥 Meta's new model costs 10 cents per million tokens: Muse Ember is Meta's smallest model, built for agent grunt work: tool calls, pulling data out of documents, routing tasks. It costs $0.10 in and $0.50 out per million tokens, reads up to 1M tokens, and takes text, images, audio and video. On Artificial Analysis's AutomationBench it scored 37.8%, against 13.9% for Claude Haiku 5.5.
Why it matters: if you run any automation that sorts emails, tags leads or extracts invoice fields, you're probably paying 10 to 50 times too much. Run 50 real tasks through Ember next to what you use now and compare.
3. 🚨 Another AI host got breached: Fireworks AI, which hosts and fine-tunes AI models for businesses, told customers on Monday that an attacker got in on October 24 through a cloud provider. Billing data was reached, and for some accounts so were stored secrets, datasets and partial model weights. It's their second known incident in weeks, and one of a long list of AI platform breaches this autumn.
Why it matters: every API key you paste into an AI tool is a key someone else now stores. Rotate the keys you gave AI platforms this year, and give each tool its own key so one leak doesn't open everything.
What this means for you: the gap between the best model and a good-enough one just got huge in price. Most of your money goes to tasks a 10-cent model can do.
The holiday streaming season is almost here
Are you ready? As revealed in our holiday playbook, Roku Ads Manager lets you easily set up, measure and optimize your self-serve holiday ad campaign. You can even create a shoppable ad unit that lets streamers buy directly from their remote.
FROM THE FRONTIER
The best AI coder fully finished one real task in four.
The good news. Alibaba and several universities built a test from real client-style software jobs, not textbook puzzles. The top model, GPT-6 Astra, met about 70% of the requirements on average. That's a lot of work you don't have to do yourself.
The bad news. It finished only 26.4% of tasks completely. On older benchmarks, where models can run and fix their own code, the same kind of models score above 99%. So when a launch post says "solves coding," it means puzzles, not your app.
My call: budget a human check on every AI build
Plan for AI to get you about 70% of the way, then pay for the last 30%: an hour of a developer, or your own testing with a checklist. Write the checklist before you start the build, not after. I'd change my mind if a model clears 60% on a test like this one by spring.
IN THE KNOW
𝕏 God of Prompt @godofprompt
You burn your weekly Claude limit by Wednesday. Most of it is the top model doing easy work. On the API, 1,000 tasks cost $60 on one top model and $9.96 when each goes to the cheapest model that can do it…
♥ 11 · ↻ 1 · View on X
𝕏 Claude @claudeai
Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges…
♥ 88.7K · ↻ 14.8K · View on X
𝕏 AI at Meta @AIatMeta
Today we're introducing Muse Ember, our smallest and most efficient model, built for complex reasoning execution and everyday agent work…
♥ 3K · ↻ 583 · View on X
Sales Owns Retention, Not Just Closed Deals
Pebl’s Chief Business Officer, Dutta Satadip, joins The GTM Garage to show how Pebl merged Operations and GTM under one leader, and how it aligned goals and incentives across the customer lifecycle.
You’ll also see how Pebl uses AI across that lifecycle and the stack behind prospecting, pipeline, and handoff to onboarding.
15 min conversation. 15 min open Q&A. For Seed to Series A teams.
TOOLBOX
🎙️ ElevenLabs: paste a script and get a natural voiceover in minutes, in your own cloned voice or a stock one, in dozens of languages.
🎥 Arcads: write a script, pick an AI actor, and get a UGC-style video ad back. Test five hooks before you pay a creator.
⚙️ n8n: open-source automations and AI agents. Route each incoming email to a cheap model first and pass only the hard ones to Claude or GPT.
TUTORIAL
Stop paying top-model prices for easy work (20 minutes)
List your repeat AI jobs: write down every task you hand AI more than twice a week. Emails, summaries, lead tagging, captions, code fixes.
Note what runs each one: which tool and model, and roughly how often. If you're on a flat plan, note which jobs eat your weekly limit.
Run the prompt below with that list. It sorts every job into cheap, mid or top tier.
Test the cheap tier on 10 real examples: Muse Ember, Haiku or Gemini Flash. Compare side by side with what you use now.
Switch only what passes, and keep the top model for the jobs that failed the test.
Check again in 30 days: compare your bill or how early you hit the limit.
Here is a list of tasks I give to AI every week:
[paste your list: task, how often, tool/model I use now]
For each task:
1. Put it in a tier: CHEAP (sorting, extracting, short rewrites), MID (drafts, summaries with judgment), TOP (multi-step builds, analysis I act on).
2. Say in one line why, and what would go wrong if a cheaper model did it.
3. Name one test I can run on 10 real examples to check the cheaper model is good enough.
Then give me a table: task, current model, suggested tier, test.
Be strict: if a task only needs copying or sorting, it is CHEAP.PROMPT STATION
AI Build Acceptance Checklist
When AI built you a tool, page or automation and you need to know it actually works before customers touch it.
## Role
You are a strict QA lead who tests software built by AI for small businesses.
## Task
Write the acceptance checklist I must pass before I ship this build.
## Context
What was built: [tool / page / automation, one paragraph]
Who uses it: [customers, team, just me]
What it must never do: [e.g. double-charge, email the wrong person, lose data]
## Output
1. 10-15 checks, each with: what to do, what should happen, how to tell it failed.
2. The 3 checks most likely to fail with AI-written code, marked first.
3. Edge cases: empty fields, wrong formats, two users at once, slow internet.
Keep each check one line. Ask me up to 3 questions first if anything is unclear.👉 Browse more prompts like this. Built for ChatGPT, Claude, Gemini, Grok.
Want one written for your business instead? Describe the task in a sentence and the prompt generator writes it, now UNLIMITED with your context profiles inside NjectAI.
IMAGE PROMPT
Product on a Desk, Late-Afternoon Window Light
When you need a warm, lived-in shot for a B2B or gadget ad without booking a studio.
A photo of [product] on a [wood / white / concrete] desk next to a window, late afternoon.
Around it: [laptop edge, coffee mug, notebook], slightly out of focus.
Camera: eye level, 3/4 angle, 50mm look, product sharp, background soft.
Light: warm low sun from the window side, long soft shadows across the desk.
Frame: vertical 4:5, product in the lower third, clean wall space above for a headline.
Style: real photo, natural colours, light grain. No text, no logos added, no watermark.👉 More image prompts in the library. Works in Grok Imagine, ChatGPT and similar image models.
Want more? the free prompt library · the free guides
Hit reply and tell me which AI job eats most of your limit. I read every reply.
🔑 God of Prompt
P.S. If you only do one thing today, rotate the API keys you gave AI tools this year. Takes ten minutes. Then run step 3 above. The prompt library has more like it.
