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AI-Native Practitioner Programme

Build a real product, in a real cross-functional AI-native team, under bar-raiser review by a team of senior professionals from big tech.

Stop being the person with potential.
Become the person with shipped proof.

Prefer to talk first? Book a 10-minute call.

Led by Patricia Juarez · former Staff AI Product Engineer, AWS · Cohort 1 already shipped to the Registry

Pods start 5 October, 16 November, or 21 December 2026 · Week 0 alignment · then 6 weeks with three review gates · pods of 4–8

PRFAQ v3 week 4 · narrative review

FOR IMMEDIATE RELEASE: your product meets its first real users

drafted with agents · defended by you

✓ survived review. Ship it
◆ Claude · design agent week 5

> Generate 4 landing directions from the PRFAQ. Dark, data-forward, credible: no hype.

CHOSEN

4 directions in an afternoon · judgement is the differentiator

User interviews: synthesis week 6 · n=5

"I'd pay for this today if it saved me the first three validation calls."

P3 · founder, 34 · min 12:40

"The score means nothing to me without the why behind it."

P1 · PM, 29 · min 07:15

trust ×5 explainability ×4 pricing doubt ×3

transcribed & themed by agents · decisions by you

Waitlist: pre-launch weeks 7–10

212

signups before a single line of launch PR

outreach sequences drafted with agents · sent by you

demand is evidence
viable.ai · live SHIPPED
Product Validator · Viable AI, shipped by Cohort 1

week 12 · real users · registry entry C1–01

PRFAQ: written before a line of code

Chapter one The gap

Why "I use AI" stopped being enough

Most people here already ship demos. The gap is not tools. It is a team, a bar, and a review you cannot hide from.

Tools without a system

You can prompt, generate, ship demos. Can you defend what you built in a review, with specs, evals, and security judgment intact?

Solo practice hits a ceiling

A personal AI workflow is not a shared system. Specs, conventions, handoffs, and review only work when the whole team runs the same operating loop.

Nobody holds the bar

Without a fixed review standard, quality drifts with whoever is available and how urgent the week feels.

Chapter two Who is in the room with you

A senior in every corner of the pod

Not a course with an instructor. Three seniors sit inside the pod and hold the bar on the work you produce, every sprint.

Patricia Juarez Muñoz

Patricia Juarez Muñoz

Programme owner · Bar raiser · Engineering & Leadership

LinkedIn

Former Staff AI Product Engineer at AWS. 9 years at Amazon, 18+ in tech; ran Working Backwards, bar-raiser reviews, and AI adoption programmes inside the company. As programme owner she is in every meeting, and she owns the success of each cohort personally. She reviews every artifact and coaches the Leadership Track directly.

Nick Harutyunyan

Nick Harutyunyan

Senior mentor · UX Design & Research

LinkedIn

Sr. UX Researcher at AWS, PhD in CS. First senior UX researcher on AWS Resource Management; owns research across Cloud Operations products. Guides research plans, interview craft, synthesis, and design critique, and holds the design bar in every review.

Reni Oikonomou

Reni Oikonomou

Senior mentor · Strategy & Product Management

LinkedIn

Product leader and coach with 20 years in tech. Former Group Product Manager and fractional CPO; helps scaling teams turn ambition into clear strategy. Guides the PRFAQ, prioritisation, positioning, and the PRD, and holds the product bar in every review.

Mentors do not do the work for you. They hold the bar, unblock the pod, and teach the craft. That is the entire difference between this and a course you watch.

Join as a Mentor Free

Senior engineers, PMs, designers, and strategists can join at no cost to practise mentoring in a real pod: observe sessions, run bar-raiser reviews, and give graduation feedback.

Apply as a Mentor →
Chapter three The redline

The redline on your career

Where you stand today, and what six weeks of real team work can leave you with. Same person. Different evidence.

− Today

"I know the frameworks but I've never shipped end-to-end."

"I consume AI content daily but have no AI-native workflow of my own."

"My portfolio is side-projects, not operator-grade work."

"I've never led cross-functional delivery under real constraints."

+ Week 6

A shipped product with real users: not a mock brief. Or a COE if quality held the date.

A public PRFAQ, PRD, and the artifacts you actually delivered.

Evidence of leading cross-functional delivery under a deadline.

An AI-native cross-functional agents team and per role activity skills tuned to your role: agents, evals, prompt-as-code.

Your entry in the public Practitioner Registry.

accepted ✓
Chapter four The proof

Cohort 1, in their own words

They shipped a real product under review. The Registry below is the public record of that work.

I was a Business Analyst in Ukraine and wanted to move into PM. After tens of interviews I had lost my confidence; this programme gave it back, and the practice I needed to pass PM interviews. It even let me apply to AI leadership roles with real anecdotes and ways of working I learned directly from Patricia. Mid-programme I moved and joined my existing role as a PM. That was hard, but the cohort was structured to adapt and keep a job-life balance, so I could stay through launch day. I also loved the Amazon practices: silent reading in reviews, and customer-first product documents like the PRFAQ.
Diana Gridina

Diana Gridina

Business Analyst → Product Manager · Cohort 1

LinkedIn
Before joining the WonderLead program, I knew how to build projects, but I was more familiar with the way we create in startups. During the program we built the product from scratch. The turning point for me was learning how to approach problems the way they do at Amazon: focusing heavily on the customer pain point and working backwards from the client's perspective. As a result, I learned techniques that work for me in the long run, like productization, AI, and communication methods.
Arturo Ortega

Arturo Ortega

Frontend Engineer → AI Engineer · Cohort 1

LinkedIn · Video testimonial
For those who want to explore different roles while working toward a clear goal, this cohort provides an excellent training environment. It offers both guidance and a supportive space to experiment, practice, and grow. Most importantly, it enables you to turn your efforts into a tangible outcome, something real you can showcase at the end of the experience.
Jessica (Li-Chieh Huang)

Jessica (Li-Chieh Huang)

UX Designer → UX Researcher (AI augmented) · Cohort 1

LinkedIn

The Practitioner Registry

A public register of what graduates actually delivered: the product, the documents, the review trail. This is the proof a certificate can't give you.

EntryPractitionerRole heldProject shippedPublic artifactsStatus
C1–02 Arturo Ortega Full Stack AI Engineer Viable AI Tech Brief Tech Design Prototype SHIPPED
C1–03 Jessica (Li-Chieh Huang) UX Researcher & Designer Viable AI Research Plan UX Synthesis User Flow SHIPPED
C2–?? Your name here Your role The product you'll defend at launch · Claim seat

Registry entries are published with each graduate's consent. Names open their congratulations page; artifacts open the Cohort 1 portfolio.

Chapter five The practice

How the pod uses AI each week

Four things you do in the work, then defend in review. Same bar as the PRFAQ and the launch call.

01

Write the spec first

You write specs precise enough for an agent to act on, and the pod keeps a convention file in the repo so context travels with the code.

02

Delegate, review, own

The agent hands the work to specialist agents before it asks a human. You review what comes back the way you would read a pull request, and you decide what ships.

03

Add evaluations and run loops

Each piece of work has a small eval set, with metrics and errors. If the next version gets worse, you see it before the bar-raiser, not after launch.

04

Apply best practices and good judgement

Role team agents apply best practices in the workflows. You choose the stack. Security, compliance, and guardrails are built into the work, not added later.

How you'll work, every week

Agents execute. You think. The bar holds.

This is the operating loop: the difference between using AI and being AI-native. Speed from the agents, judgement from you, and standards from the mechanism.

01

Agents execute

Drafting, synthesis, generation, evals: the volume work runs on your agentic stack.

02

You think, critically

Interrogate the output: what's the evidence, the assumption, the failure mode? The agent is fast. Your job is to be right.

03

The bar holds

Every decision survives a bar-raiser review. No grade inflation, no "looks good to me."

wonderlead · pod session LIVE
week 4 · prfaq revision agents draft · humans decide

A real exchange from Cohort 1, week 4.

Chapter six The roadmap

Six weeks. Three phases. Three gates.

Week 0 · Alignment

Align before the delivery weeks

Align on the product and its features so the pod shares one picture of what you are building.

Intro to what it means to be AI-native in day-to-day craft, not only tools.

Identify the ideal customer to interview and start identifying where to look for customers.

Pods are matched by role and level before kickoff. Then the 6-week programme runs with three review gates.

Phase I · Discovery

Kickoff, Framing & Discovery

Week 1: kickoff, charter, press release, AI agents, research, tech feasibility, market landscape.

Week 2: FAQ, PRFAQ review, interviews and report, MCP training, positioning.

Five customer questions and the PRFAQ → · How we brief agents →

team charter 5 customer questions user interviews research synthesis jobs to be done PR + problem statement FAQ (RICE / MoSCoW) tech feasibility

Phase II · Definition & Build

Definition, Design & Build

Week 3: tech design, infrastructure, UXUI design, AI design tools, landing.

Week 4: implementation, usability tests plan, testers booked, AI backlog.

PRD (AI spec) tech brief delivery plan + backlog design system / palette tech design product implementation UI / UX design usability tests

Phase III · Launch

Validate, then Ship or COE

Week 5: implementation, usability tests, bug fixes, launch plan, funnel, AI evals.

Week 6: go/no-go, launch or COE, demos, AI monitoring.

GTM strategy Go / No-Go

This schedule is for 6+ hours/week, and it includes 2 weeks of buffer for unexpected issues. Less or more hours of availability means more or less weeks; it depends on the team availability and match.

The roadmap adapts to the team

Weekly roadmap reviews. Every week the pod reviews the plan and adapts it to what the team actually needs.

Quality holds the bar. A delivery might slip to keep the quality high, exactly as it would in a real team.

The deadline still matters. We work strategic workarounds to meet the target launch date whenever possible.

A curriculum for every seat

Tech roles are blurring. Design Technologists, Product Engineers, and T-shaped generalists thrive by going deep in one seat while contributing across others. Check the roles you want to train. You can combine seats if you have the capacity; each additional role adds load on top of your primary.

Hover a role for the full description. Tap on mobile. Colours match the deliverable pills in each phase above.

Pick the seats you want to train. The first one you choose becomes your primary seat; the rest travel with your application as your T-shape.

Apply with these roles

Week 0 alignment, then delivery weeks in three phases with three review gates. Protect 4–5, 6–7, or 8+ hours of work a week; length follows that choice (8–10, 6–8, or 4–6 weeks). Meetings: 1h per week + 1h × 3 gates + 2 mentorship sessions (1h each), by the mentor of your choice. Status is async. Plan execution for your primary seat; each extra seat you add increases the load.

Chapter seven The work

The work you defend

Every artifact pairs how you build it, with agents, evals, and your own judgement, with the mechanism it must survive.

PRFAQ

Drafted with agentic workflows, defended by you in a live narrative review.

Held to: Working Backwards format

PRD

AI-assisted drafting; every decision in it is human-owned and defensible.

Held to: feasibility & scope review

Design generations

Landing pages and product UI generated with AI: four directions in an afternoon, one chosen with intent.

Held to: design critique

UX research

Real user interviews: transcribed and themed by agents, decided by you.

Held to: evidence over opinion

Waitlist & Final Product

Coded and reviewed with AI. A waitlist when discovery is solid, a product ready to ship by sprint 10, and a Go/No-Go call your team argues with evidence.

Held to: launch review mechanism

Launch or COE

If we don't launch on sprint 10, we write a COE: AI-augmented detection and root-cause analysis of what went wrong, owned by the team.

Held to: Correction of Errors

Bar-raiser reviews

Your work is reviewed by a team of senior professionals from big tech. Their job is to keep the standard high. No deliveries as slides. We follow Amazon review style: read in silence first.

Held to: no grade inflation

Anyone can claim AI-native. The frameworks are publicly documented. What you can't get from a book is practising both under review, by a team of senior professionals from big tech.

Four ways to get AI-native

The other three teach you, certify you, or ship for you. This one leaves the capability in the team: quality faster, and the mistakes don't land on people you lead.

Free, and genuinely useful

Docs and ChatGPT

The concepts are public. The constraints, the team, the deadline, and the shipped evidence are not.

Better if you want more theory

A bootcamp

Teaches you to code. It does not put you in a cross-functional pod under a bar-raiser review.

Better if you need delivery now

Renting an AI-native pod

Someone else's team ships for you. The capability leaves when the invoice stops.

Who needs this. Anyone who delivers software in tech. Most importantly, people working in a team, looking for a job in tech, or needing to practise their next role. For managers, the Leadership Track is recommended. For AI-native delivery, judgement and best practices are what matter, not just using the tools. This is how you practise quality faster without handing those mistakes to your team. In six weeks.

Chapter eight The breakdown

What you are actually buying

Live pod sessions and written reviews for an IC seat are counted at €50 each. Mentorship 1:1s stay at €100.

Live pod sessions

A senior in the room across the six weeks: weekly syncs plus Delivery Reviews in Weeks 2, 4, and 6. About 11 hours of sync programme-wide.

€500

10 written professional reviews

PRFAQ, PRD, tech design, research, usability, GTM, Go-No-Go, and the COE if you write one.

€500

Mentorship by the mentor of your choice

2 mentorship sessions (1h each) for the seat you hold, by the mentor of your choice, plus async help when the pod is blocked.

€200

Role curriculum for your seat

Decks, templates, mechanisms, and the two threads every role trains: AI and EQ.

€300

Bonus

Your AI-native cross-functional agents team and per role activity skills

Agents, evals, spec-driven development, tuned to your seat. Yours to keep.

€300

Bonus

Certificate and public Registry

A hiring manager can open your artifacts and read them. A certificate cannot do that.

€200

Bonus

Alumni network

Free WonderLead community, monthly accountability after the cohort. Come back to mentor, or execute for free in later pods.

€200

Bonus

3 months of REPLAN, free

Planning and weekly review. Three months of REPLAN Pro after kickoff, counted here as €87.

€87

Total, at the rate we already charge
€2,287 €550 Claim your seat →

Why list is €550 against €2,287 of senior time

The Registry is still small. Early cohorts get the discount in exchange for producing the proof that raises the value for later ones. Current list is Standard €550 and Leadership €800. From 1 November 2026, Standard goes to €795 and Leadership to €1095. Later cohorts may list higher. The review bar does not scale with the invoice.

Chapter nine The offer

You cannot lose money on this

€2,287 of senior time. Current list: Standard €550 · Leadership €800 · Solo €350. From 1 November 2026: Standard €795 and Leadership €1095. Apply, claim your seat, then take the fit quiz: pass → pay if ready or book a 1:1. Refund right ends after 7 days from the start of Week 0.

What is locked in

  • Everything in the breakdown above Details

    10 live sessions · 10 written professional reviews · 2 mentorship sessions (1h each) plus async · role curriculum · AI-native stack to keep · certificate and Registry · alumni access to mentor, or execute for free in later pods · 3 months of REPLAN.

  • Refund right ends after 7 days from the start of Week 0
  • You keep what you build either way
  • Withdraw later and instalments simply stop
  • No payment until your place is confirmed after the first call

Standard seat

€2,287 of senior time

€550

Or three instalments. Total €550, nothing added. Leadership Track €800 · Solo own-pace €350 · Mentor free. From 1 November 2026: €795 / €1095.

Full 6-week programme. Later cohorts will list higher.

Three cohorts open: pods start 5 October, 16 November, or 21 December 2026. Week 0 alignment, then the delivery programme. Current list: Standard €550 · Leadership €800 · Solo €350. From 1 November 2026: Standard €795 and Leadership €1095. Not sure about the dates? Ask to be notified for following cohorts.

Free application, about 2 minutes. Confirmation after the first call. Payment only after your place is confirmed. Prefer Leadership? Apply on the Leadership Track.

Choose the seat you want credited

The track decides which seat you hold.

Standard

Hold an IC role: PM, UXD+UXR, Product Strategist, or Engineer.

€550

€2,287 of senior time. 10 live sessions, 10 written reviews, 2 mentorship sessions (1h each), your AI stack, Registry, 3 months REPLAN. What's included
  • 10 live pod sessions with a senior in the room
  • 10 written professional reviews on your artifacts
  • 2 mentorship sessions (1h each) for your role, plus async support
  • Role curriculum and AI-native cross-functional agents team and per role activity skills, yours to keep
  • Certificate, public Registry entry, alumni access to mentor or execute for free in later pods
  • 3 months of REPLAN included
Claim a Standard seat →

Pay in 3×€200 instalments

Role Transition

The programme, plus a private path into your next title.

from €990 · Standard seat included · Leadership seat +€250 · 3 instalments available

from €1,250 from 1 November

Standard seat included. Leadership seat +€250. Six private 1:1s on positioning and interviews. What's included
  • Standard or Leadership Track included
  • 6 private 1:1 sessions across the programme
  • Positioning, portfolio, and interview strategy on your artifacts
Start Role Transition →

Standard €550 · Leadership Track €800 · Solo €350 · Mentor free. From 1 November 2026: €795 / €1095. Refund right ends after 7 days from the start of Week 0.

3× instalments available Refund: 7 days from Week 0 start
Chapter ten Who it's for

Built for people already in tech

If you already ship work and want operator-grade proof under a real bar, this is the room. If you want passive content, it isn't.

This is for you if

You're a tech IC or manager who wants to gather more experience or leadership skills.

You consume AI but haven't shipped under constraint with it, or you want to create AI apps.

You want proof a hiring manager can read and test, not another certificate.

You can protect 4–5, 6–7, or 8+ hours of work a week, plus meetings (1h per week + gates + mentorship). Showing up to a Delivery Review without the week's work done hurts the whole pod, not just you.

This is not for you if

You're completely new to tech or have less than 1 year of experience. Consider the €49 workshop or the free Builder Stack instead.

You want passive, fully guided content and you are not independent when learning. There are no async recordings: this is real cross-functional team project execution.

You cannot protect about 4–6 hours of work a week for six weeks. Wait for a later cohort, or start with the €49 workshop.

Honest questions, honest answers

How much time does this really take?◆

Protect 4–5, 6–7, or 8+ hours of work a week. Estimated length: 8–10, 6–8, or 4–6 weeks. Meetings: 1h per week + 1h × 3 gates + 2 mentorship sessions (1h each), by the mentor of your choice. Status stays async. Week 0 is Alignment before delivery weeks. If life happens, you can pause without penalty up to two times; it is in the terms, not a favour.

What is a POD?

A POD is your cross-functional cohort team: a small seat group (for example PM, UX, strategist, engineer) that ships one product together under the same review bar.

Is there a faster intensive track?◆

Pods share one calendar shape: Week 0 alignment, then delivery phases with three review gates. Length follows the hours you protect. Solo own-pace is fixed at 6 weeks.

How is the project chosen?◆

Week 0 · Alignment: align on the product and its features, intro to what it means to be AI-native, identify the ideal customer to interview, and start identifying where to look for customers. Before kickoff we match pods by role and level. Then the 6-week programme begins.

What if the team falls behind?◆

The roadmap adapts. Every week the pod reviews the plan and re-shapes it around the team's needs. A delivery might slip to keep the quality of the work high, exactly as it would in a real team, while we work strategic workarounds to still meet the target launch date whenever possible.

Can't I learn all this free with ChatGPT?◆

The concepts, yes. The constraints, the team, the deadline, and the shipped evidence: no. You've had free access for two years. What did you ship?

How is this different from a bootcamp, or from renting an AI-native pod?◆

A course teaches frameworks. A bootcamp is better if you want more theory. This programme makes you ship as a real cross-functional team, under senior review, with feedback on whether your work meets a professional bar. You leave with real artefacts and the judgment to defend them.

There is also a newer option in the market: agencies now rent out ready-made "AI-native pods," teams of three to seven who build for your company as a service. That can solve a short-term delivery problem, but it leaves the capability with someone else's team, not yours, so the dependency lasts as long as the invoice. This programme is the other way round: you and the people in your pod build the capability yourselves, so it stays with you after the cohort ends.

Is this price real? It seems cheap.◆

Standard is €550, Leadership Track is €800, and Solo own-pace is €350. From 1 November 2026, Standard goes to €795 and Leadership to €1095. The review bar does not scale with the invoice.

Who owns the work I produce?◆

You do. Every artifact you produce is your intellectual property. WonderLead has no commercial rights over your work.

Can we build a paid product?◆

Use a free product for the programme. A paid product would need IP alignment and contracts with your teammates. Any direction toward paid can wait until later, once the team agrees.

Can I join as a mentor for free?◆

Yes. Senior engineers, PMs, designers, researchers, and strategists can apply on the Mentor track at no cost. You still pick the craft you bring so we can match you to a pod. In return you attend team sessions, run mock bar-raiser reviews, and give individual feedback at graduation. Approval is still required; it is not an automatic seat.

What's the refund policy?◆

Refund right ends after 7 days from the start of Week 0. After that, instalments simply stop if you withdraw: you never pay for weeks you do not attend.

What happens after Week 6?◆

Alumni network with free WonderLead community access, your permanent Registry entry, and monthly accountability sessions. You can also come back to mentor, or execute for free in later pods. Three months of REPLAN are included after kickoff. The artifacts keep working for you in every interview after.

Three cohorts open · 5 Oct · 16 Nov · 21 Dec 2026 · Week 0 alignment · then 6-week delivery

The next revision of you has a deadline.

Pods are 4–8 people. Roles are assigned as seats fill. There is still room in the October, November, and December pods.

Choose 5 October, 16 November, or 21 December 2026, ask to be notified for following cohorts, or go Solo own-pace at €350. Week 0 alignment first. Standard €550 · Leadership Track €800 · Solo €350. From 1 November 2026: €795 / €1095. Apply in about 2 minutes. After you claim your seat, take the fit quiz; pass → pay if ready or schedule a 1:1.

Application takes about 2 minutes. Earlier is better for role choice. Not sure yet? Book a 1:1.

Prefer not to meet? Send a question via the contact form.

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