Why People Beat Plans: Investing in Human Potential
John Frankel
Invest in people alongside AI: cultivate your team's decision-making ability for successful software development in the AI era
Mar 24, 2026 · 10m 2s BACK TO HOME
IDEATING
Explore ideas, concepts, and innovative thinking in the ideation phase of product development.
The S-Curve Uncertainty: Why AI Knowledge Expires Monthly
John Frankel
Adapt to AI's transient knowledge: Constantly learn, evolve technical skills, and embrace the changing nature of AI technology
Mar 24, 2026 · 11m 8sAI Point Solutions: The Bottom-Up Productivity Revolution
John Frankel
Embrace AI point solutions: Drive innovation through cultural shift and leverage the power of humans in harnessing AI
Mar 24, 2026 · 14m 19sThe Economics of Open Source AI
Elizabeth Seger
Understand open source AI strategies: link security considerations, commoditizing complementary products, and ethical implications
Feb 11, 2026 · 8m 22sRegulation, Safety, and What Comes Next
Elizabeth Seger
Reinforce AI safety: adopt stringent testing, uphold clean data practices, and leverage open-source safety frameworks for reliable, responsible AI systems
Feb 11, 2026 · 9m 27sAI Sovereignty and the National Bet
Elizabeth Seger
Balance national and global AI resources: use open-source models, develop in-house capabilities, and leverage foreign AI partnerships strategically.
Feb 11, 2026 · 7m 29sAI Strategy Workshops and Disposable Software
Michal Nowakowski
Embrace disposable software, value data, and ideate AI strategy within your team
Jan 23, 2026 · 5m 7sProto Personas and Synthetic User Research
Lukasz Pawlowski
Leverage 'proto personas' for enriched product research: glean valuable insights from AI-generated synthetic user emulations
Jan 23, 2026 · 6m 11sSCRAPE REDDIT FOR DEMAND SIGNALS
Lukasz Pawlowski
Elevate product discovery with AI: leverage platforms like Reddit for user feedback and accelerate market insight collection through automation
Dec 17, 2025 · 6m 26sAI WITHOUT CONTEXT FAILS - DOMAIN MODELS BEAT AI
Anna Barnacka
Leverage quality data and domain knowledge for robust and context-aware AI integration
Dec 16, 2025 · 8m 1sAI COLLAPSES DEVELOPMENT COSTS - HOW AI MULTIPLIES TEAMS
Anna Barnacka
Leverage AI for efficiency: adopt well-labeled data, implement foundational knowledge, and automate documentation for maximum productivity
Dec 16, 2025 · 5m 16sAI DEMOCRATIZES EXPERT KNOWLEDGE - AI BREAKS INDUSTRY GATEKEEPERS
Anna Barnacka
Leverage AI to democratize knowledge, negotiate industry gatekeeping, and fast-track innovation in regulated sectors
Dec 16, 2025 · 4m 29sApplied AI vs Foundation Models: Know Where You Win
James LePage
Where to place your bets: prioritize applied AI that leverages your existing distribution and data, and partner on foundation models instead of competing to build them.
Sep 29, 2025 · 0m 19s97% of Enterprise AI Pilots Fail Because They Force Rigid Tools on Flexible Workflows
James LePage
Skip rigid pilots: embed AI inside existing workflows people already use, and adoption will follow the value.
Sep 29, 2025 · 0m 19sBuild Less, Enable More: The Internal AI Tool Trap
James LePage
Build less, enable more: standardize on best‑in‑class external AI tools, then add thin, workflow‑specific integrations where they create clear leverage.
Sep 29, 2025 · 0m 35sIn-Person AI Teams Within Remote Companies: The Startup-Within-Enterprise Model
James LePage
Blend remote scale with in‑person speed: colocate small AI squads inside a remote org to accelerate iteration without losing async strengths.
Sep 29, 2025 · 1m 20sOpen Source Products Win Differently with AI
James LePage
Win with open ecosystems: infuse AI into extensible architectures like WordPress to compound value with existing reach.
Sep 29, 2025 · 1m 7sChoose Your Own AI Adventure: Bottom-Up Tool Selection Beats Top-Down Mandates
James LePage
Adopt bottom‑up tooling: let teams pick AI tools, then spread proven stacks through organic sharing and light governance.
Sep 29, 2025 · 0m 29sThe Autonomy Advantage: Why Distributed Intelligence Beats Central Control
James LePage
Enable distributed AI adoption: let teams pick tools, run many small experiments, and share what works—govern with light guardrails instead of top‑down mandates.
Sep 29, 2025 · 7m 5sThe Synchronous Revolution: When Development Happens During the Meeting
James LePage
Run on-sync cycles: prototype in the meeting, observe impact, and add LLM ops practices to keep speed from eroding product quality.
Sep 29, 2025 · 6m 2sDistribution Over Disruption: The Applied AI Playbook
James LePage
Win with applied AI: amplify existing distribution and domain strengths while partnering on foundation models.
Sep 29, 2025 · 4m 25sThe Three-Speed Problem: Why Agile Is Dead
Oji Udezu
Fix the three‑speed mismatch: pair 10× development with faster discovery and marketing, update planning cadence, and retire legacy Agile rituals that assume equal speeds.
Sep 29, 2025 · 0m 23sThe Economic Disruption Is Just Beginning
Oji Udezu
Recalculate the economics: when two people can do the work of ten, rethink team structures, cost models, and where human judgment adds the most value.
Sep 29, 2025 · 0m 15sBuild More Ambitious Products Now
Oji Udezu
Stop slicing—solve the whole job: use AI to deliver complete workflows, not narrow features, and raise the ambition bar.
Sep 29, 2025 · 0m 28sThe Real-Time Development Revolution
Oji Udezu
Make meetings productive: prototype live with stakeholders, validate assumptions in hours, and capture decisions immediately.
Sep 29, 2025 · 0m 20sThe Ambition Imperative: Delegating to Silicon
Oji Udezu
Delegate entire workflows to silicon: deliver outcomes, not dashboards, by automating end‑to‑end jobs.
Sep 29, 2025 · 4m 23sThe Death of Sequential Development
Oji Udezu
Operate without phases: discover and build in parallel, shorten decision cycles, and validate ideas live as teams prototype while they learn.
Sep 29, 2025 · 5m 26sThe YouTube Moment: New Categories of Software Emerging
Chris Rickard
Explore new categories: build lightweight, focused apps that fill gaps traditional software never served.
Sep 29, 2025 · 0m 25sThe Anti-Agile Revolution: AI Development Demands Upfront Precision
Chris Rickard
Front‑load precision: write detailed specs and context early so AI builds the right thing fast and avoids downstream rework.
Sep 29, 2025 · 0m 10sThe YouTube Effect: Democratizing Software Creation
Chris Rickard
Ship ‘clip software’: build lightweight, niche apps that were previously uneconomic, and capture new demand unlocked by AI.
Sep 29, 2025 · 5m 22sThe Waterfall Renaissance: Why Speed Requires Specification
Chris Rickard
Speed requires specification: invest in crisp requirements so AI can implement in hours, not months.
Sep 29, 2025 · 5m 35sThe Three-Week Launch: AI as Your Third Co-Founder
Gillian Salerno-Rebic and Maria Burke
Launch faster with an AI co‑founder: spin up brand, site, and ops in weeks while reserving human effort for client outcomes.
Sep 29, 2025 · 0m 25sThe Department Dissolve: Reorganizing Work Around AI Capabilities
Gillian Salerno-Rebic and Maria Burke
Redesign your org for AI: inventory tasks, automate what’s ready, and regroup the remaining human work into new roles built around judgment and orchestration.
Sep 29, 2025 · 6m 24sThe Third Co-Founder: From Tool to Team Member
Gillian Salerno-Rebic and Maria Burke
Start and scale with AI as a true team member: launch services fast, let models handle production work, and reserve human effort for strategy, taste, and client impact.
Sep 29, 2025 · 5m 7sCapability Layers, Not Technology Replacements
Steve Brown
Think in layers, not fads: stack generative, agentic, and spatial AI capabilities to compound value over time.
Sep 29, 2025 · 0m 19sAI Transformation Isn't IT's Job - It's Everyone's
Steve Brown
Make AI an all‑hands change: build organization‑wide literacy, embed AI into owned workflows, and avoid treating it as an IT rollout.
Sep 29, 2025 · 0m 17sHR and IT Convergence: Managing Hybrid Workforces
Steve Brown
Merge people and platform thinking: align HR and IT to hire, onboard, and manage hybrid human‑digital teams.
Sep 29, 2025 · 0m 19sThree-Year Planning Horizon Is the New Long-Term
Steve Brown
Adopt a 2–3 year horizon: plan architectures and bets that survive rapid AI change, and avoid over‑committing beyond that window.
Sep 29, 2025 · 0m 16sSpatial AI: The Missing Perception Layer
Steve Brown
Add spatial understanding: design systems that reason about objects, people, and places—not just text.
Sep 29, 2025 · 0m 18sDevelopment as Problem Expression, Not Code Generation
Steve Brown
Why problem framing beats code: shift from writing functions to expressing clear intent, decomposing problems, and orchestrating solutions that AI can implement.
Sep 29, 2025 · 0m 18sIntelligence Becomes a Commodity: The Electron Economy
Steve Brown
Design for near‑zero marginal intelligence: when digital workers cost electrons, automate end‑to‑end tasks and rethink pricing models.
Sep 29, 2025 · 0m 22sThe Unified Workforce: When Every Company Becomes a Hybrid Intelligence
Steve Brown
Prepare for hybrid intelligence: align HR and IT to onboard digital workers, redefine roles, and orchestrate humans plus AI as one team.
Sep 29, 2025 · 4m 26sCompete when intelligence is cheap: automate entire functions, revisit unit economics, and reinvest savings into differentiation.
Steve Brown
Compete when intelligence is cheap: automate entire functions, revisit unit economics, and reinvest savings into differentiation.
Sep 29, 2025 · 6m 28s