domain · product
Ship the thing the buyer pulls out of your hand
Discovery, prototyping, scope, taste, prioritization. From PMs who shipped products people actually use.
Strongest claims
- Optimise for absolute count of users reaching each stage, not stage conversion rates Archie Abrams
- Agents are first-class product users; design for output reliability, not navigation Elena Verna
- Agents work when treated as a team, not a single super-tool Claire Vo
- An intake interview guide aligns PM and PMM before any GTM work begins. Ashley Bass
- When the agent isn't doing what you want, fix the context, not the model Sherwin Wu
- Frontier labs are baking native harness preferences into model weights, not layering them on top Drew Breunig
Adjacent domains
- ai-native · 42 co-occurrences
- leadership · 25 co-occurrences
- pmm · 20 co-occurrences
- gtm · 17 co-occurrences
- growth-demand · 15 co-occurrences
- engineering · 13 co-occurrences
- design-ux · 8 co-occurrences
- growth · 6 co-occurrences
Synthesis patterns in product
- Agents are first-class users, design for output, not navigation
- Agents mapped 1:1 to JTBD with named human checkpoints
- Pricing is a behavioral-architecture problem
- Build for the next model, not the current one
- Diagnose before executing, refuse the playbook ask
- Generalists with taste, shipping end-to-end
- LLM-as-OS, post-training as moat
- Absolute counts + correlated short signals, not stage rates and long loops
- Pricing is the most leveraged and most under-invested function
- Quality and friction-as-feature are growth levers, not constraints
- Research preview, frontier programs, seasons not roadmaps
- Status quo / no-decision is the real competitor
- Subtraction-first operating discipline
102 insights in product
- Optimise for absolute count of users reaching each stage, not stage conversion rates · Archie Abrams
- Agents are first-class product users; design for output reliability, not navigation · Elena Verna
- Agents work when treated as a team, not a single super-tool · Claire Vo
- The number one enemy of innovation is efficiency, AI is collapsing the moats specialization built · Leah Tharin
- Exploring and understanding complex systems · Anirudh Rayaprolu
- Claude Code subagents run in isolated context windows with model routing, enabling cost-optimized bulk delegation without polluting the orchestrator session · Anthropic
- Security scanning via data flow tracing finds business logic flaws that pattern-matching tools miss for years · Anthropic
- Claude Code Routines separates cloud-hosted scheduled agent tasks from local compute, enabling event-triggered agent work on Anthropic's servers without the user's machine being online. · Anthropic
- Anthropic is treating Skills and Cookbooks as the unit of vertical agent distribution, not one-off integrations · Anthropic
- An intake interview guide aligns PM and PMM before any GTM work begins. · Ashley Bass
- Appoint one trusted-taste expert as the eval benevolent dictator, committees stall the loop · Hamel Husain
- When the agent isn't doing what you want, fix the context, not the model · Sherwin Wu
- Frontier labs are baking native harness preferences into model weights, not layering them on top · Drew Breunig
- Build for the model six months out, not the one that ships today · Boris Cherny
- Build for the model six months out, the current model will eat your scaffolding · Sherwin Wu
- Build products at the edge of what does not yet work · Cat Wu
- In AI products, capability overhang is the central growth problem · Amole Naik
- Continuous Calibration, Continuous Development (CCCD) is the operating loop for AI products · Aishwarya Naresh Reganti
- Code and media are the only forms of leverage that don't require asking, labour and capital both come gated · Naval Ravikant
- -> Context on pain points and product: what and who are we solving for, and how · Shivangi Sahu
- The block to AI adoption is the start, not the depth, design 30-day ladders, not deep-dive bootcamps · Hilary Gridley
- PMM role at Amilia: end-to-end GTM, deep customer insights, and product collaboration · Cris Thome
- Make design an explicit ship-blocking bottleneck · Evan Spiegel
- The design role's time mix shifted from 60% mocking to 30% mocking, 30% pairing, 20% code · Jenny Wen
- Done-for-you for the strategy, done-with-you and DIY for the rest, never sell time · Alex Hormozi
- Differentiation requires three checks: different, better, and matters viscerally to users · Ayo Omojola
- Test automation that can't adapt to product changes creates a maintenance burden worse than manual testing. · Dileep Krishna
- Customer loyalty in service contexts is driven by effort reduction, not delight, exceeding expectations doesn't build loyalty · Matt Dixon
- Give the model tools and a goal; do not hard-code the workflow · Boris Cherny
- Treat `.claude/` as a deployable artifact with versioning and rollback · Pawel Huryn
- Hire engineers with product taste rather than adding more PMs · Cat Wu
- In PLG, no pricing model can save you if onboarding doesn't reach the Eureka moment quickly · Ramli John
- Evals are systematic data analysis on your LLM application, start with error analysis, not tests · Hamel Husain
- Don't test what won't reach sample size in a month, pre/post is fine · Elena Verna
- Sort the roadmap into four buckets, Brilliant Basics, Bread-and-Butter, Big Bets, Breaking Bad · Anuj Rathi
- Run a Frontier cohort, early-adopter access to bleeding-edge features, in parallel with normal rollout · Aparna Chennapragada
- In an AI-native team, hire generalists with one deep dimension, not specialists · Anton Osika
- Push past expert opinion until you reach the actual law of physics or contract · Ayo Omojola
- People don't want the mathematically optimal strategy, they want one that lets them sleep at night. Reasonable beats rational in practice. · Morgan Housel
- Watch for "illegible energy", ideas the team can't articulate but can't stop talking about · Jenny Wen
- Treat upward influence as a discovery interview, not a sales pitch · Jessica Fain
- Position AI as intelligence put into things that already exist, not as a new thing · Qasar Younis
- Map agents 1:1 to enumerated jobs-to-be-done, not abstractly to "AI-augmented" workflows · Evan Spiegel
- JTBD interviews surface the customer's actual language and the switch trigger · Bob Moesta
- Killing your own initiatives loudly is the highest-trust move with executives · Jessica Fain
- Label every strong opinion with a confidence level so the room knows when to push back · Mihika Kapoor
- Latent demand, what users hack around the product to get, is the next loop · Boris Cherny
- Growth needs both lead bullets and cannonballs, the laziness trap is shipping only lead bullets · Adriel Frederick
- LLM platform is the new OS, agents are the new apps, MCP registries are the new app stores · Gartner
- 30–40% of growth experiments with short-term lift show no incremental value at one year · Archie Abrams
- Losses feel about 2× as painful as equivalent gains, switching costs are paid in pain, not dollars · Daniel Kahneman
- By 2028, AI agent "machine customers" will replace 20% of human-readable storefront interactions · Gartner
- Design for the marginal user, the person on the cusp of converting in the worst conditions · Adriel Frederick
- Tool adoption should not be conflated with value delivery. · Mark Kosoglow
- Customer data is not a defensible moat for GTM tech companies. · Mark Kosoglow
- PMM owns both halves of the loop, market to the product, product to the market · Martina Lauchengco
- Pre-PMF, stop theorizing marketplace dynamics, pick the hardest side and nail liquidity · Benjamin Lauzier
- • You'll be misunderstood by the exact people you are fighting for · Ani Filipova
- Most people are still using AI like this: ask → answer → forget · Alok Yadav
- Natural language is the interface; conversation flow is the design surface · Aparna Chennapragada