“And it was only with like Opus 4 5 and 4 6 that we”
Claude Opus 4.6
By Anthropic
2 recommend/use · 4 sourced episodes
Every sourced reference
Short attributed excerpts only. Timestamps are approximate.
“more recently with Opus 4.6 we're like, okay, this this is like headed in the right direction.”
“Opus 4.6 still can't do this particular thing”
“Currently, that's Opus 4.6. I have maximum effort enabled always.”
Related frameworks
Best-Model-First Agent Workflow
Use the most capable model on max effort, start in plan mode, then auto-accept — counterintuitively cheaper.
Build for the Current Model, Prototype for the Next
Elicit max capability from today's model while pre-building the products the next model will unlock
Build for the Model Six Months Out
Design your AI product for the model that ships in six months, not the one you have today.
Clear-Goal Ambiguity Cut
Because general LLMs can do anything, a sharp key-user + problem + use-case triad is what rules approaches out
Don't Box the Model In
Give the model tools and a goal, not a rigid workflow — scaffolding gains get wiped out by the next model.
Exponential Bet Allocation
If AI is your core value, shift the growth portfolio from micro-optimizations to large bets
Hoard What You Know How To Do
Keep a searchable backlog of verified, working experiments so agents can recombine them into new solutions.
Latent Demand Product Discovery
Find your next product by watching people misuse your current one for something it wasn't designed to do.
Lean Into Your Spike
In the AI era, double down on your unfair advantage and stack disciplines to become a unicorn
Mission-Above-Product Prioritization
Route every cross-org tradeoff through a single shared mission so decisions are fast and everyone stands behind them
Model Introspection Harness Repair
When an AI agent misbehaves, ask it why — its explanation reveals the harness gap to fix
Red/Green TDD for Coding Agents
Force agents to write the test first, watch it fail, then pass — the compressed prompt is just 'red/green TDD'.
Ship-in-Research-Preview Speed Loop
Cut idea-to-user time from months to a week by branding launches as previews and pre-wiring the launch chain
Strategic Friction
Add friction that helps a user understand why the product is for them; cut friction that doesn't
The 100%-or-Nothing Automation Rule
An automation that works 95% of the time isn't an automation — push it to 100% or don't rely on it
The Automatable Growth Loop (CACHE)
Break growth experimentation into four evaluable stages an AI can hill-climb, keeping humans on alignment
The Conversion-Funnel Cold Email
Treat a cold email like a growth funnel: open, then read, then reply — optimize each stage separately
The Dark Factory Software Model
Ship production software no human writes or reads — replace review with simulated-user QA swarms.
The Fast-Feedback Flywheel
Fix every piece of user feedback within minutes so people feel heard and give you even more.
The Lethal Trifecta
Any AI agent that combines three capabilities can be tricked into stealing your data — cut one leg.
The Scheduled AI Chief of Staff
Put proactive agents on a schedule to watch your metrics, surface misalignment, and coach you weekly
The Thin Skeleton Template
Start every project from a minimal template — agents copy its style far better than they follow prose instructions.
The Two-Bucket Controversial-Test Triage
Sort every risky experiment into a red-line 'never run' bucket or a 'run it if the return justifies the cringe' bucket
The Two-Week Deputization Rule
Under two engineering weeks, the engineer is the PM; over two weeks, the PM owns it
The Vibe-Coding Blast-Radius Rule
Vibe-code freely when only you get hurt by bugs; stop and take responsibility the moment others could.
Three-Legged Model Evaluation
Judge a model-harness combo with heavy usage, a trusted five-person taste panel, and ~10 sharp evals
Three-Prototype Ideation
Since prototypes are now free, build a feature three ways and let real use pick the winner.
Under-Resource to Force Automation
Deliberately under-staff projects and hand out unlimited tokens so people are forced to automate with AI.
People in these episodes
Related resources
- A Fire Upon the Deep
- Anthropic
- Apple Podcasts
- AppleScript
- Awareness
- Brex
- Calm
- ChatGPT
- Chrome extension for Claude
- Claude
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- Claude Code
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- Claude for Chrome
- Claude Opus 4
- Claude Opus 4.5
- Claude Sonnet 4.6
- Cloudflare
- Code with Claude
- Codex
- Cursor
- Discord
- Docker
- Dropbox
- DX
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- Formula 1: Drive to Survive
- Free Solo
- GitHub
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- Granola
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- How Asia Works
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- Linear
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- Simon Willison's Weblog
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- The Joy of Living
- The Paper Menagerie and Other Stories
- The Technology Trap
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- Waymo
- Workday
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- X (formerly Twitter)
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