--- schema: 1 type: video title: We Tested Anthropic’s Fable 5 for a Week description: "Dan Shipper, CEO of Every, spent a week testing Anthropic’s Fable 5, a Mythos-class model that scored a 91 out of 100 on Every’s senior-engineer benchmark, compared with a 63 for Opus 4.8 and a 62 for GPT-5.5. It excels at research, complex judgment, and large projects, but it is slow, expensive and best suited for high-level agentic builders. Dan breaks down how to get the most out of the best coding model on the market, and what this means for the future of work after automation. Read the full Vibe Check: https://every.to/vibe-check/anthropic-mythos-our-fable-vibe-check Claude Fable 5 Prompt Library: https://every.to/p/claude-fable-5-prompt-library Every is the most AI-native startup on the internet. Through ideas, software and education, subscribers get the tools to work at the frontier of AI. Start your free trial today: https://every.to/subscribe?utm_source=youtube Follow Every: https://x.com/every Follow Dan Shipper: https://x.com/danshipper ⌚ Timestamps: 00:00 One prompt built an infinite 3D library 01:22 Our day-zero Fable 5 review 02:25 What a Mythos-class model is 03:28 The 91/100 engineering benchmark 04:12 Why it feels like a warp drive 06:10 Where the model falls short 07:04 Building a Heidegger lecture site 09:05 Finding a growth bet in customer data 10:35 Clearing a real GitHub backlog 11:17 Who should actually use this model 13:31 Where other models still win 14:26 What this means after automation 16:02 The final verdict \U0001F517 Links: After Automation: https://every.to/p/after-automation?utm_source=youtube https://www.youtube.com/watch?v=jBZQ5Ay20HU The 8 Levels of AI Adoption: https://every.to/guides/the-eight-levels-of-ai-adoption" canonical: 'https://liquidgold.cc/watch/GrdEid8H6H4' markdown: 'https://liquidgold.cc/watch/GrdEid8H6H4.md' llms: 'https://liquidgold.cc/watch/GrdEid8H6H4/llms.txt' parent: 'https://liquidgold.cc/channel/everyinc.md' channel: everyinc updated: '2026-10-24T01:07:31.759Z' language: null children: [] videoId: GrdEid8H6H4 durationSeconds: 998 publishedAt: '2026-06-09T17:08:33.000Z' searchChunks: - ordinal: 0 text: null startSeconds: 0 endSeconds: 11 watch: 'https://liquidgold.cc/watch/GrdEid8H6H4?t=0' heldReason: rights - ordinal: 1 text: null startSeconds: 11 endSeconds: 88 watch: 'https://liquidgold.cc/watch/GrdEid8H6H4?t=11' heldReason: rights - ordinal: 2 text: null startSeconds: 164 endSeconds: 216 watch: 'https://liquidgold.cc/watch/GrdEid8H6H4?t=164' heldReason: rights - ordinal: 3 text: null startSeconds: 164 endSeconds: 216 watch: 'https://liquidgold.cc/watch/GrdEid8H6H4?t=164' heldReason: rights - ordinal: 4 text: null startSeconds: 216 endSeconds: 228 watch: 'https://liquidgold.cc/watch/GrdEid8H6H4?t=216' heldReason: rights - ordinal: 5 text: null startSeconds: 271 endSeconds: 378 watch: 'https://liquidgold.cc/watch/GrdEid8H6H4?t=271' heldReason: rights - ordinal: 6 text: null startSeconds: 378 endSeconds: 389 watch: 'https://liquidgold.cc/watch/GrdEid8H6H4?t=378' heldReason: rights - ordinal: 7 text: null startSeconds: 389 endSeconds: 433 watch: 'https://liquidgold.cc/watch/GrdEid8H6H4?t=389' heldReason: rights - ordinal: 8 text: null startSeconds: 443 endSeconds: 553 watch: 'https://liquidgold.cc/watch/GrdEid8H6H4?t=443' heldReason: rights - ordinal: 9 text: null startSeconds: 564 endSeconds: 641 watch: 'https://liquidgold.cc/watch/GrdEid8H6H4?t=564' heldReason: rights - ordinal: 10 text: null startSeconds: 653 endSeconds: 685 watch: 'https://liquidgold.cc/watch/GrdEid8H6H4?t=653' heldReason: rights - ordinal: 11 text: null startSeconds: 696 endSeconds: 819 watch: 'https://liquidgold.cc/watch/GrdEid8H6H4?t=696' heldReason: rights - ordinal: 12 text: null startSeconds: 830 endSeconds: 866 watch: 'https://liquidgold.cc/watch/GrdEid8H6H4?t=830' heldReason: rights - ordinal: 13 text: null startSeconds: 877 endSeconds: 964 watch: 'https://liquidgold.cc/watch/GrdEid8H6H4?t=877' heldReason: rights --- # We Tested Anthropic’s Fable 5 for a Week Dan Shipper, CEO of Every, spent a week testing Anthropic’s Fable 5, a Mythos-class model that scored a 91 out of 100 on Every’s senior-engineer benchmark, compared with a 63 for Opus 4.8 and a 62 for GPT-5.5. It excels at research, complex judgment, and large projects, but it is slow, expensive and best suited for high-level agentic builders. Dan breaks down how to get the most out of the best coding model on the market, and what this means for the future of work after automation. Read the full Vibe Check: https://every.to/vibe-check/anthropic-mythos-our-fable-vibe-check Claude Fable 5 Prompt Library: https://every.to/p/claude-fable-5-prompt-library Every is the most AI-native startup on the internet. Through ideas, software and education, subscribers get the tools to work at the frontier of AI. Start your free trial today: https://every.to/subscribe?utm_source=youtube Follow Every: https://x.com/every Follow Dan Shipper: https://x.com/danshipper ⌚ Timestamps: 00:00 One prompt built an infinite 3D library 01:22 Our day-zero Fable 5 review 02:25 What a Mythos-class model is 03:28 The 91/100 engineering benchmark 04:12 Why it feels like a warp drive 06:10 Where the model falls short 07:04 Building a Heidegger lecture site 09:05 Finding a growth bet in customer data 10:35 Clearing a real GitHub backlog 11:17 Who should actually use this model 13:31 Where other models still win 14:26 What this means after automation 16:02 The final verdict 🔗 Links: After Automation: https://every.to/p/after-automation?utm_source=youtube https://www.youtube.com/watch?v=jBZQ5Ay20HU The 8 Levels of AI Adoption: https://every.to/guides/the-eight-levels-of-ai-adoption Canonical: https://liquidgold.cc/watch/GrdEid8H6H4 · Channel: [Every](https://liquidgold.cc/channel/everyinc.md) > Search chunk text is held until public-source provenance is verified. ## Document chunks > Missing: no stored document chunks are available.