Better product work, one useful guide at a time.
Learn how to use AI to understand customers, make clearer decisions, test ideas, and build products people want to use. Practical workflows, thoughtful tool choices, and resources you can put to work today.
What are you working on?
Three paths through the same collection. Pick the one closest to this week's work.
Make AI useful in my day-to-day work.
Start with research, requirements, planning, and communication workflows you can check and repeat.
- How to use AI as a product manager: start with one real workflow
- AI tools for product managers: choose a stack around the work
- How to write a useful PRD with AI without outsourcing the product decisions
- Use AI to challenge your roadmap, not manufacture a priority score
- Automate product work with AI: start with drafts, reviews, and clear boundaries
Build a better AI product.
Learn to define quality, evaluate outputs, measure value, and give users meaningful control.
Turn an idea into something real.
Validate a problem, build a small prototype, find initial users, and decide what deserves more investment.
- How product management is changing with AI—and what still makes a good PM
- From product manager to product creator: validate, build, and find your first users
- Build a useful prototype with AI: a five-day learning sprint
- Product metrics for AI: measure useful outcomes, quality, and cost
- AI product management opportunities: build a portfolio that shows your judgment
Connect all three in 30 days.
Practice one connected product workflow over four weeks, from a real decision and evidence to a prototype, evaluation, and portfolio case study.
Start with these guides
How to use AI as a product manager: start with one real workflow
Choose one workflow, provide the right context, and measure whether the result helps.
Read the guideFrom product manager to product creator: validate, build, and find your first users
Use your product skills to validate a problem and build a small, useful solution.
Read the guideAI tools for product managers: choose a stack around the work
Compare tools around the work you need to do, with a scorecard for your own evaluation.
Read the guideAll articles
How to use AI as a product manager: start with one real workflow
A practical first workflow for PMs: choose a task, supply useful context, review the result, and measure whether AI actually helps.
3 min readCareer and craftHow product management is changing with AI—and what still makes a good PM
Understand the shift toward faster prototyping, stronger evaluation, and clearer product judgment without confusing AI fluency with tool collecting.
3 min readToolsAI tools for product managers: choose a stack around the work
Compare practical AI tool categories for research, prototyping, building, feedback, and automation using a task-based selection method.
3 min readAI at workHow to write a useful PRD with AI without outsourcing the product decisions
Turn evidence and decisions into a clear PRD with explicit scope, acceptance criteria, failure behavior, and unresolved questions.
3 min readDiscovery and decisionsUse AI to challenge your roadmap, not manufacture a priority score
Compare product bets with evidence, expose uncertainty, and run sensitivity checks before committing to a roadmap.
3 min readBuild and createBuild a useful prototype with AI: a five-day learning sprint
Go from a product question to a testable prototype with a bounded five-day practice sprint, clear evidence, and an honest handoff.
3 min readBuild and createFrom product manager to product creator: validate, build, and find your first users
Use your PM skills and AI-assisted building to test a useful small product, evaluate demand, and understand the work beyond the prototype.
3 min readBuild AI productsAI evaluations for product managers: define good before you ship
Create a small evaluation set with realistic tasks, failure cases, a scoring rubric, and release criteria that reflect user consequences.
3 min readBuild AI productsProduct metrics for AI: measure useful outcomes, quality, and cost
Measure activation, retention, task success, correction effort, latency, and cost per successful task with clear denominators.
3 min readAI at workAutomate product work with AI: start with drafts, reviews, and clear boundaries
Design a reliable product workflow with traceable inputs, human review, deduplication, failure handling, and useful measurement.
3 min readCareer and craftAI product management opportunities: build a portfolio that shows your judgment
Explore practical AI-related product career paths and create portfolio evidence that explains your decisions, contribution, and results.
3 min readCareer and craftA 30-day plan to become more effective with AI as a product manager
Practice one connected product workflow over four weeks, from a real decision and evidence to a prototype, evaluation, and portfolio case study.
3 min readCareer and craftHow to succeed as a product manager when AI makes everyone faster
Build trust through clearer decisions, useful collaboration, disciplined scope, and honest communication about outcomes and uncertainty.
3 min readBuild AI productsDesign AI experiences people can check, correct, and control
Design useful AI workflows with visible evidence, editable outputs, clear permissions, recoverable errors, and meaningful human review.
3 min readNo articles match that search.
Take something useful with you.
Download editable templates for requirements, prototypes, evaluations, metrics, and product decisions. No email required.
Bring your real product challenge.
If you would like help applying a workflow, testing an idea, or making a difficult decision, work with Ashley in a focused session, team workshop, or prototype sprint.