For Product Managers

AI will not replace product managers. It will replace the ones who did not adapt.

The PMs who lead the next wave are not waiting for their company to figure out AI. They are building fluency now, becoming the driving force their organization turns to when AI needs to ship. This is how you get there.

Open enrollment · Spring 2026 cohort

Starts Mon June 8, 2026 · 8-week experience · €990 VAT incl.

Apply by May 29Cohort 20 seatsLive Mondays 18:00 CETTime ~3-4 hours per week

Book a 15-min fit call

Does this sound familiar?

This is where most PMs are right now.

01You have used ChatGPT for brainstorming and drafting. You know there is more. You do not know what 'more' looks like in production.
02Your engineering team is shipping AI features. You are reviewing them, not speccing them. The power dynamic is shifting and you feel it.
03Every AI course you have taken was awareness training. You walked away with concepts, not execution skills. Nothing changed on Monday morning.
04Your company's AI strategy is 'we will figure it out.' You are not willing to wait for them to figure it out for you.
05You see the PMs who are AI-fluent getting the best projects, the best teams, the best trajectory. You want to be one of them.

The Kairos platform

See where you'll actually do the work.

Every exercise runs on the Kairos platform. Multi-LLM prompt lab, RAG builder, eval suite, orchestrator, and trace, all in one environment. Watch the 1-minute walkover to see what makes it different from anything else you've used to learn AI.

Kairos · Platform walkthrough

Coming soon

What the Kairos platform actually is

~1:00

Multi-LLM, RAG, evals, orchestration, knowledge graphs. One environment.

Persistent workspace, 4-LLM coverage (Gemini, GPT-4, Claude, Grok), and built-in eval. By Week 8 you've used every part of it.

What's at stake

The window for being early is closing

In 12 months, AI fluency will not be a differentiator for product managers. It will be table stakes. The PMs who built it now will be leading the teams, owning the AI strategy, and designing the operating models. The ones who waited will be catching up in a market that has already moved. You have a choice right now about which side of that line you are on. The best investment you can make in your career this year is 3 to 4 hours a week for 8 weeks.

Why this is different

We don't teach PMs how to use AI.

We teach PMs how to build AI products that work in production.

Learning order, not conceptual order

Most curricula start with theory. We start with what you can use Monday morning, then build outward. Each module makes the next one concrete.

A platform, not a slide deck

Every concept is exercised live in a tool that does the actual thing. Test prompts across 4 LLM providers. Build RAG pipelines. Run evals. Trace decisions.

Capability, not a certificate

By the end you've built and shipped real AI workflows. You leave with executable specs, eval frameworks, and prompt libraries you keep using.

Your 8-week experience

Eight weeks. Six modules. One Monday a week with the founders.

One module ships every week. You go at your own pace, ~90 minutes per module. Every Monday at 18:00 CET, the cohort meets live with the instructors to review the previous module's work. Buffer week mid-program so life can happen.

Wk 0Jun 1 – 7

Optional prep week

Get oriented on the Kairos platform. Set up accounts, watch the platform walkthrough, meet your cohort in Slack. Optional but recommended.

No live session

Wk 1Jun 8 – 14

Module 1: AI-native personal workflow

Become 3-5x faster in your core PM tasks before touching any infrastructure. Repeatable AI-assisted workflows for research, PRD drafting, decision stress-testing.

Kickoff liveMon Jun 8 · 18:00 CETCohort kickoff. Meet the instructors, walk the program, set expectations.

Wk 2Jun 15 – 21

Module 2: Prompt architecture + probabilistic thinking

Design reusable instruction systems. Rewire how you think about AI output: temperature, sampling, failure modes, meta-prompting.

Live sessionMon Jun 15 · 18:00 CETModule 1 live. Your AI-native PM workflows reviewed live.

Wk 3Jun 22 – 28

Module 3: Build as a PM

Get skin in the game. Build a working 3-step AI workflow in Kairos Orchestrator solving a real PM task. Then deliberately break and debug it.

Live sessionMon Jun 22 · 18:00 CETModule 2 live. Prompt libraries reviewed across all 4 LLM providers.

Wk 4Jun 29 – Jul 5

Buffer · practice · catchup

No new module. Use this week to practice with what you've built, catch up if life intervened, or go deeper on Modules 1-3 with the cohort in Slack.

Live sessionMon Jun 29 · 18:00 CETModule 3 live. Working AI workflows debugged in front of the cohort.

Wk 5Jul 6 – 12

Module 4: AI systems thinking

Synthesize what you've built into a mental architecture for the whole stack. Input → Context → Model → Output → Feedback. Map your failure surfaces.

Optional office hoursMon Jul 6 · 18:00 CETOptional office hours. Open Q&A with the instructors before the second half kicks off.

Wk 6Jul 13 – 19

Module 5: AI interface design

Design for trust, transparency, and graceful failure. Confidence signals, correction mechanics, the abandonment pattern.

Live sessionMon Jul 13 · 18:00 CETModule 4 live. AI system diagrams critiqued live.

Wk 7Jul 20 – 26

Module 6: Evaluation systems + feedback loops

Measure quality rigorously. Build an eval dataset, scoring rubric, LLM-as-judge pipeline, and a feedback loop that improves with use.

Live sessionMon Jul 20 · 18:00 CETModule 5 live. AI interface design walkthroughs.

Wk 8Mon Jul 27

Cohort close

Final live session. Your eval frameworks reviewed, what to take into your next quarter, and how to keep the network alive.

Live sessionMon Jul 27 · 18:00 CETModule 6 live + cohort close. The capstone-style celebration of what you've built.

The curriculum

What you'll build, week by week.

Each module is self-contained: a hands-on exercise, a real artifact, and a live session that goes deeper. The first 6 modules ship in this open cohort. Modules 7-10 are part of our enterprise tracks where the work runs against your real product.

Included in this cohort

01Foundational

AI-native personal workflow

Become 3-5x faster in your core PM tasks before touching any infrastructure.

What you'll learn

→Research synthesis: 10 user interviews into structured insights in under 30 minutes
→PRD co-authoring: AI as a writing partner that challenges assumptions
→Decision stress-testing: pre-mortem and devil's advocate protocols
→Meeting-to-action automation: transcripts into decisions and open questions

You leave with

Repeatable AI-assisted workflows for research, synthesis, PRD drafting, competitive analysis, and decision stress-testing.

Kairos Prompt LabKairos Data ForgeKairos Learn

02Foundational

Prompt architecture + probabilistic thinking

Design reusable instruction systems and rewire how you think about AI output.

What you'll learn

→Prompt anatomy: role, instruction, context, constraint, output format
→Temperature and sampling: why the same prompt produces different outputs
→Failure mode recognition: five common failures and how to diagnose each
→Meta-prompting: using AI to critique and improve your own prompts

You leave with

A reusable prompt template library tested across all 4 LLM providers, with documented failure modes for each.

Kairos Prompt LabKairos Eval SuiteKairos Learn

03Foundational

Build as a PM

Get skin in the game. No code required.

What you'll learn

→Workflow design: chaining prompts to do what one prompt cannot
→Integration reality: how prompts degrade on messy real-world input
→Latency and failure: what happens when a step times out
→Iteration discipline: changing one variable at a time

You leave with

A working 3-step AI workflow in Kairos Orchestrator solving a real PM task, then deliberately broken and debugged.

Kairos OrchestratorKairos RAG BuilderKairos Trace

04Foundational

AI systems thinking

Synthesize what you've built into a mental architecture for the whole stack.

What you'll learn

→AI system anatomy: Input, Context, Model, Output, Feedback
→Where RAG fits: retrieval as the primary lever for context quality
→Failure surface mapping: five common system-level failures by layer
→Tradeoff reasoning: latency vs. quality, autonomy vs. control

You leave with

A full AI system diagram of your built workflow, Input through Feedback, with failure surfaces mapped and labeled.

Kairos OrchestratorKairos Learn

05Product craft

AI interface design

Design for trust, transparency, and graceful failure.

What you'll learn

→Trust calibration: progressive disclosure, confidence signals, explanations
→Failure mode design: what the interface does when the AI is wrong
→Human-in-the-loop placement: where confirmation matters
→The abandonment pattern: why users try once and never return

You leave with

A prototype of an AI feature's failure states, correction mechanics, and confidence signals.

Kairos Learn

06Product craft

Evaluation systems + feedback loops

Measure quality rigorously, then design systems that improve from use.

What you'll learn

→Quality dimension mapping: independently scorable dimensions of good output
→Ground truth construction: representative test sets at scale
→LLM-as-judge across 4 providers: comparing scoring agreement
→The feedback loop: logging, eval, iteration

You leave with

An eval dataset, scoring rubric, LLM-as-judge pipeline, and feedback loop design, all in Kairos Eval Suite.

Kairos Eval SuiteKairos Data ForgeKairos Trace

Enterprise track only

07Core architecture

Context engineering + RAG

Control what AI knows, when, and how, then retrieve it intelligently.

Enterprise track →

08Core architecture

Orchestration + agent flows

Design multi-step AI systems with human checkpoints.

Enterprise track →

09Advanced / Building

Spec-driven AI development

Write specifications that machines can execute.

Enterprise track →

10Advanced / Building

Knowledge graphs + GraphRAG

Model relationships, not just documents, then reason across them.

Enterprise track →

Want the full 10? See the enterprise tracks →

How the program runs

~3-4 hours a week. One Monday with the founders.

~90m

Self-paced module work. A new module opens each Monday on the Kairos platform. Watch, build, break, fix. Go at your pace.

Live with the instructors. Every Monday at 18:00 CET. Module review, Q&A, live debugging of cohort work. Recorded for everyone.

Cohort Slack. The conversation between sessions. Ask, share, get unstuck. Instructors are present.

Live session times

All Mondays at 18:00 CET

Mon Jun 8Kickoff
Mon Jun 15Module 1 review
Mon Jun 22Module 2 review
Mon Jun 29Module 3 review
Mon Jul 6Office hours
Mon Jul 13Module 4 review
Mon Jul 20Module 5 review
Mon Jul 27Module 6 review

Recordings posted within 24h. You don't need to make every live to keep up.

Who delivers the sessions

Mike Pilawski

Lead instructor

Methodology and Senior Practice

Blagoja Golubovski

Lead instructor

Senior Practice and Regulated Industries

Sergiu Lazar

Guest

Product Operations and Delivery

Joao Moita

Guest

Product Practice and Community

Fit check

Who this is for, and who it isn't.

A good fit if

✓Product managers building or shipping AI features in the next 12 months
✓PMs who want to lead AI conversations with their engineering team, not chase
✓PMs willing to build, break, and rebuild things during the program
✓Self-directed learners who can put in 3-4 hours a week consistently

Not for you if

×You're looking for a 1-day AI awareness workshop. This is 7 weeks of hands-on work.
×You expect to passively watch videos. The exercises are not optional.
×You don't have access to a real product domain and document corpus to practice on.
×Your roadmap has no AI features in the next 12 months and no plans to change that.

No technical background required. No hardware to set up. You need a product domain you're close to, access to a real document corpus for later modules, and the willingness to put in the time.

What it costs

One price. Everything included.

Open cohort · Spring 2026 cohort

€990

VAT inclusive · per person

✓Full Kairos platform access for the duration of the cohort
✓All 6 modules with self-paced exercises (~90 min per module)
✓8 live sessions with the founders (kickoff, 6 module reviews, 1 office hour)
✓Cohort Slack channel with peers and instructors
✓30 days of platform access after the cohort ends
✓Recordings of every live session

Can my company pay?

Yes. Many participants get this funded as L&D. We can issue an invoice in your company's name on request. Tell us in the application or at the fit call.

Refund policy

Full refund up to the end of Week 2. After that, we cannot offer refunds.

After the cohort

30 days of platform access after the cohort ends. Need more? Contact us.

How applications work

Three steps. No sales process.

We read every application. We accept who's a fit and we pass on who isn't, on the spot. If you'd rather talk first, book a 15-minute fit call with one of the instructors.

Apply

5 minutes. Name, email, four self-assessment sliders, and three short answers about your career and why now.

Manual review

Reviewed manually within 2 business days. One of the founders reads your application and decides.

If accepted

We send a confirmation email with payment instructions. Bank transfer or Stripe link, your choice.

Book a 15-min fit call

Apply by May 29.

The framework that anchors this work

The AI Compounding Model

The flywheel applies to your career, not just your company. Better specs lead to better AI outputs. Better evals lead to better system design. That is how you compound. The PMs who understand this cycle are the ones who become indispensable.

“AI doesn't get better with time. Organizations that invest in the flywheel do.”

See the full framework →

What people tell us

Proof, not claims.

The session was practical and inspiring, showing how generative AI tools can support product work with clear takeaways I will apply right away.

Florina Truta

Product Manager, Flutter International

The session helped me reflect on the most repetitive tasks in my daily work and gave me clear tips on which generative AI tools I can use. We worked hands-on and also addressed security concerns.

Natalie Ruckert

Product Delivery Manager, SEAT CODE

It was an inspiring session about generative AI tools, how, when, and which to use. Swisscom is investing in education about AI that will shape our working landscape fundamentally.

Hanselmann

Product Manager, Swisscom

Cohort FAQ

Common questions.

Does my company need to pay for me?

No, this cohort is open to individuals. That said, many participants do get this funded as L&D budget. We can issue an invoice in your company's name on request, with all the details your finance team will want.

Do you offer scholarships?

We don't offer scholarships at this time. The €990 price is set to reflect the value while keeping the cohort accessible to PMs paying out of pocket.

What if I miss a live session?

Live sessions are recorded and posted within 24 hours. You can keep up by watching the recording and asking questions in Slack. The Monday live is high-leverage but not required.

What if I fall behind?

Week 4 is built in as a buffer for exactly this. No new module ships that week, so you can catch up, practice, or go deeper on what you've built. Recordings stay available throughout the cohort.

What hardware or accounts do I need?

A laptop and a browser. The Kairos platform handles the rest. You'll get accounts for the platform itself; we'll send setup instructions during Week 0 prep.

Do I keep platform access after the cohort?

Yes, for 30 days after the cohort ends. If you need longer, contact us and we'll work something out.

Is there a refund?

Full refund up to the end of Week 2. After that, we cannot offer refunds, but you can transfer your seat to a future cohort one time.

Do I need a technical background?

No. The program is designed for product managers, not engineers. You need a product domain you're close to and the willingness to build, break, and rebuild things.

What time zone are the live sessions?

Mondays at 18:00 CET (Europe time). That's 17:00 UK, 12:00 ET, 9:00 PT. Recordings posted within 24 hours for anyone outside that range.

The cohort starts June 8.

Apply by May 29. Limited to 20 seats. €990 VAT inclusive.

Book a 15-min fit call