“We have 3 million developers using our API.”
OpenAI API
By OpenAI
2 recommend/use · 4 sourced episodes
Every sourced reference
Short attributed excerpts only. Timestamps are approximate.
“with the rise of all of these tools that are being built on top of you know open AI apis or anthropic apis”
“it's using the assistance apis”
“companies who are and have some domain specific knowledge and they're really excited about that problem space like they can go and do that”
Related frameworks
Break Into AI PM With a Prototype Portfolio
Build a foundation, then ship prototypes that pre-answer the hiring manager's core questions.
Clear Is Kind: The Three-Sentence Correction
State the failure, state your belief in them, hand them the responsibility — starting tomorrow
Context Is All You Need Prompting
Treat the model as a brilliant stranger with zero context, and supply what a colleague would already know.
Decompose-and-Ensemble
Break a broad problem into specific tasks, then solve each with a specialized model in an ensemble.
Don't Default to the Chatbot: Choosing the Right AI Interface
Reject the intuitive AI copy; ask what problem your business actually needs solved.
Eval-Driven Product Development
Design the test for your AI product alongside the product, then hill-climb the model against it.
Finding High-Leverage AI Ideas
Give AI work a metric, run hackathons, and study what makes AI products feel magical.
High Agency, High Urgency Hiring Filter
Hire for two traits only — people who see a problem and go, and people who go now.
Lowercase-c vs Capital-C: AI-Proofing Your Skill Stack
Sort every task into what AI does 80% well and what only a human can do — then invest accordingly
Manufacture the Room (Bending the Universe)
Decide which room you must be in, then engineer a legitimate reason to be standing in it
Measure in Hundreds
If your unit of measurement is one hundred attempts, five failures means you have effectively tried zero times.
Model Maximalism
Build at the edge of what models can barely do — the next model will make it sing.
One Click Faster (Clock Speed Management)
Three tactics to raise an organization's pace without lowering its bar
Poor Man's Fine-Tuning (Few-Shot + Role Priming)
Steer a model with in-prompt examples and a role identity instead of a full fine-tune.
Reason About It Like a Human
To design or debug AI behavior, ask what an equivalent human would do in the same situation.
Ship-Fast Operating Model
Lightweight bottoms-up planning, PM-light teams, and iterative deployment in a fast-moving domain.
The Better Tool, Same Problems Lens
Every model leap gets normalised within months — build for the boring future, not the euphoric one.
The Constrained-Resource Headcount Test
When the bottleneck isn't people, each new hire is a net productivity loss unless they uplevel everyone.
The IKEA Effect for AI Products: Leave Knobs and Levers
Don't automate everything away — give users enough control to feel ownership.
The Org Chart With Your Name On It
Win the promotion by solving your boss's org problem, not by asking for your next title
The Platform Encroachment Test
Build where the platform's mission says it will never go — the general layer is not yours to own.
The Proxy Goal Ladder
Every metric you chase is a proxy — climb the ladder to the mission before you optimise it.
The Technology Wave Specialization Ladder
Ratchet down on a new technology while it's still weird — teardown, no-code, then fun build
The Three Flavors of AI Product Management
Map any AI PM role into one of three types to target the right skills and job.
The Zone of Genius Calendar Audit
Bucket last quarter's calendar by joy, then ask what only you can do
Vertical AI Opportunity Finder
Build where the winning data is locked behind a company or industry's walls — foundation models won't go there.
Waiting vs. Wandering: The IC PM Operating Model
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