Free, and genuinely useful
Docs and ChatGPT
The concepts are public. The constraints, the team, the deadline, and the shipped evidence are not.
Three cohorts open
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
Most people here already ship demos. The gap is not tools. It is a team, a bar, and a review you cannot hide from.
You can prompt, generate, ship demos. Can you defend what you built in a review, with specs, evals, and security judgment intact?
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.
Without a fixed review standard, quality drifts with whoever is available and how urgent the week feels.
Not a course with an instructor. Three seniors sit inside the pod and hold the bar on the work you produce, every sprint.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Registry entries are published with each graduate's consent. Names open their congratulations page; artifacts open the Cohort 1 portfolio.
Four things you do in the work, then defend in review. Same bar as the PRFAQ and the launch call.
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.
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.
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.
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.
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.
Drafting, synthesis, generation, evals: the volume work runs on your agentic stack.
Interrogate the output: what's the evidence, the assumption, the failure mode? The agent is fast. Your job is to be right.
Every decision survives a bar-raiser review. No grade inflation, no "looks good to me."
A real exchange from Cohort 1, week 4.
Week 0 · Alignment
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
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 →
Phase II · Definition & Build
Week 3: tech design, infrastructure, UXUI design, AI design tools, landing.
Week 4: implementation, usability tests plan, testers booked, AI backlog.
Phase III · Launch
Week 5: implementation, usability tests, bug fixes, launch plan, funnel, AI evals.
Week 6: go/no-go, launch or COE, demos, AI monitoring.
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.
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.
Selected:
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 rolesWeek 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.
Every artifact pairs how you build it, with agents, evals, and your own judgement, with the mechanism it must survive.
Drafted with agentic workflows, defended by you in a live narrative review.
Held to: Working Backwards format
AI-assisted drafting; every decision in it is human-owned and defensible.
Held to: feasibility & scope review
Landing pages and product UI generated with AI: four directions in an afternoon, one chosen with intent.
Held to: design critique
Real user interviews: transcribed and themed by agents, decided by you.
Held to: evidence over opinion
Spec-driven work, agent handoffs, evals, and attention allocation, tuned to your seat and yours to keep after Week 6.
Held to: AI era bar raising
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
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
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.
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
The concepts are public. The constraints, the team, the deadline, and the shipped evidence are not.
Better if you want more theory
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
Someone else's team ships for you. The capability leaves when the invoice stops.
Why this is better
You keep the skill. Agents do the volume, you make the calls, and every artifact survives review before it counts. That is how a team ships with quality faster, instead of paying for the same mistakes later.
€550 · 6 weeks
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.
Live pod sessions and written reviews for an IC seat are counted at €50 each. Mentorship 1:1s stay at €100.
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
PRFAQ, PRD, tech design, research, usability, GTM, Go-No-Go, and the COE if you write one.
€500
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
Decks, templates, mechanisms, and the two threads every role trains: AI and EQ.
€300
Agents, evals, spec-driven development, tuned to your seat. Yours to keep.
€300
A hiring manager can open your artifacts and read them. A certificate cannot do that.
€200
Free WonderLead community, monthly accountability after the cohort. Come back to mentor, or execute for free in later pods.
€200
Planning and weekly review. Three months of REPLAN Pro after kickoff, counted here as €87.
€87
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.
€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
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.
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.
Free application, about 2 minutes. Confirmation after the first call. Payment only after your place is confirmed. Prefer Leadership? Apply on the Leadership Track.
The track decides which seat you hold.
Hold an IC role: PM, UXD+UXR, Product Strategist, or Engineer.
€550
Pay in 3×€200 instalments
Hold the Tech Lead or Team Lead seat. Practice the title before you have it.
€800
Pay in 3×€290 instalments
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 €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.
Education, not employment. Enrolment creates a paid educational services contract. No employment relationship is created. All deliverables produced during the programme are your intellectual property.
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.
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.
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.
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.
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.
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.
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.
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.
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?
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.
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.
You do. Every artifact you produce is your intellectual property. WonderLead has no commercial rights over your work.
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.
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.
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.
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
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.
Recommend WonderLead
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A later pod is still a seat
Can't make 5 October? November and December pods are open too. Same programme, today's price. Or ask to be notified for following cohorts. You do not have to go Solo.
Solo Level-Up is not a pod. You ship your own product on your calendar, alongside other solo people. The price is set when the track opens and will be €350 Solo own-pace, or a team seat at list.
This opens WonderLead Skool. Access to the club is free. The €49 workshop is a paid session inside that community.
Solo Level-Up
Not an October, November, or December pod seat. A cheaper track we have not priced yet. Leave a name and email so we can place you when it opens.
Solo Level-Up
You ship one product on your calendar: PRFAQ, reviews, and an AI-native stack, without a matched pod or a weekly team cadence. Other solo builders work in parallel. Same artefacts. Not the same facilitation.
Got it
The €49 workshop is one session and the fastest way to feel the review bar before you commit a full pod.
This opens WonderLead Skool. Access to the club is free. The €49 workshop is a paid session inside that community.