learning paths — pragmatic leaders

AI for Product Builders

A 2026-era curriculum for PMs and product builders who need to design, ship, and judge AI-powered products — built around the twelve-chapter AI Manual spine. Decide whether AI is the right answer, pick the smallest model that clears the bar, spec the prompt, gate on evals, design for uncertainty, and own cost, latency, and safety as first-class product constraints.

forPMs, founders, and product leads who are building or spec-ing AI-powered features and need a working understanding of the full stack — from when not to use AI through model selection, evals, RAG, agents, AI UX, cost, and safety — without becoming engineers.

outcomeYou can decide whether AI is the right tool, pick the right model rung, write a prompt the way you write a PRD, build a small sharp eval set, design UX that survives hallucination, choose between context-window/RAG/fine-tune, recite your cost-per-user-per-month, and brief leadership on the safety and strategic trade-offs only a PM can own.

8 weeks8 stagesstart →

Executive Product Leadership

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A nine-stage journey for senior practitioners stepping into VP and CPO roles — and for any operator making product decisions at scale.

forSenior practitioners with 10+ years of experience aiming at VP and CPO roles. Also useful for founders, principal engineers, and design leaders who own product outcomes at scale.

outcomeYou can frame markets, choose innovation levers, model the product, lead delivery, measure what matters, price for capture, and influence the room — with worked examples to anchor each decision.

12 weeks9 stagesstart →

Harness Engineering — building the cage for autonomous agents

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The next eighteen months of product surface area is being shaped by what's possible with multi-agent autonomy, not by what's possible in a single prompt. This path teaches the vocabulary, the failure modes, and the operating discipline behind agent loops, eval harnesses, tools, memory, multi-agent orchestration, and production runtime — so you can spec a system that doesn't fall over at hour six.

forPMs, founders, and product leaders who have to scope, ship, or judge autonomous-agent systems and need a working mental model of the harness — the eval suites, agent loops, tools, memory, orchestration, and production runtime — without becoming an ML engineer.

outcomeYou can name the components of an agentic system, sketch a failure-mode tree on a whiteboard, push back on a vendor pitch that conflates capability with reliability, write the eval set that decides whether v1 ships, scope tool and memory surfaces deliberately, decide when a second agent is a multiplier versus a tax, and brief leadership on cost, observability, and recovery before a Sentry page wakes the team.

6 weeks5 stagesstart →

Interview Prep for PMs

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A four-week path for mid-to-senior PMs targeting FAANG, unicorns, and Series C+ companies — structured answers, worked examples, and real practice reps.

forPMs with 5+ years of experience preparing for senior IC and lead PM roles at high-bar companies. You already know the job; this path sharpens how you show that in 45 minutes.

outcomeYou can structure answers to product-sense, design, analytical, behavioral, and strategy questions — with a repeatable framework for each type, worked case examples, and a mock-interview plan to close the gaps before day one.

4 weeks6 stagesstart →

Learning to Learn in the AI Step-Change

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For anyone whiplashed by influencer cycles and unsure what to learn next. This path builds the metacognition and epistemic-hygiene skills that let you pick the compounding AI skills and ignore the churn — and it gives you a personal learning operating system that holds up across every model cycle.

forPMs, founders, engineers, designers feeling permanently behind on AI or whiplashed by influencer cycles

outcomeA personal AI learning operating system plus epistemic hygiene against hype; pick the compounding skills, ignore the lateral churn, and ship one real artifact per quarter

6 weeks6 stagesstart →

Ship Your First AI Product (Founder Track)

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A six-week sprint for founders, solopreneurs, and indie hackers who need to ship a real AI feature fast, not talk about one. The path moves from customer pain to model choice, prompt spec, evals, and failure-tolerant UX so you can launch this week and learn from live users instead of demos.

forFounders, solo builders, and indie hackers going 0 to 1 with AI-powered products, including non-engineers using Replit, Claude Code, Cursor, or agent stacks. No Python required.

outcomeYou can choose one painful user problem worth solving with AI, pick the smallest model that clears the bar on evidence, write a prompt spec and a small eval set, ship a UX that survives bad outputs, and defend a real cost-per-user number from live usage.

6 weeks6 stagesstart →

The Customer-Facing PM

A six-week path for PMs and CSMs stepping into B2B roles where they own retention, expansion, and the customer relationship alongside the product.

forPMs and CSMs in B2B SaaS who are responsible for customer health, renewal, and expansion — or who are moving into a role where they will be. Assumes you ship product and talk to customers regularly.

outcomeYou can run structured discovery with enterprise customers, translate customer signal into prioritised product bets, navigate complex stakeholder maps, and build the metrics system that tells you when an account is at risk before the renewal conversation starts.

6 weeks6 stagesstart →

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