Hard to master
Using AI on complex work is hard to learn, and good advice is buried under noise.
You pay for AI. We make sure it pays back.
We've built real products with AI since it landed, and we know the patterns and the pitfalls. We get every team there fast, so the spend pays off.
AI doesn't make your teams faster. The habits and workflows around it do, and those are built, not bought. That's the work.
Most teams hit the same problems.
Getting the tools in takes a week. Getting real use out of them takes much longer, because AI is new ground with no map yet. Most teams get stuck in the same four places.
What to use it for
Knowing what to use AI for is hard, and even less obvious in product, sales and design. The real opportunities are easy to miss.
People fall behind
A few get there on their own. The rest need support, and without it the gap grows.
Progress you can't see
Adoption is hard to measure. Without a way to track it, you cannot tell what is working or who needs help.
The instruments we bring with us
We build software so adoption is measurable and the workflow fits how your team already works.
Adoption & velocity dashboard
Tracks AI adoption across the team and its effect on delivery, so progress is visible and decisions rest on data, not hunches.
Prompt logging & reporting
Captures what people actually prompt and produce, so our reviews and recommendations come from real practice, not anecdotes.
Custom-built tools
When a workflow needs its own tooling, we design and build it, fitted to how your business actually operates.
What working with us looks like
No long proposals, no big commitment. We talk first, then work alongside your team, then stay available for as long as you need.
We talk
A free conversation to understand your team: where you stand, your pain points, and where AI would help you most.
We work with your team
We work alongside your team: workshops, materials, and time in your meetings. We track progress and set up tools as we go.
Ongoing support
We hand over the tools, follow your progress from a distance, and stay ready to help whenever you need us.
Same method, whichever team you start with.
Same team.
Different output.
This is our own engineering team over sixteen months. We practise what we teach. Headcount stayed flat. The way we shipped changed completely.
Cumulative code output
Functional code only. Team size held constant.
lines
| Month | Cumulative lines of code |
|---|---|
| 0 | 0 |
| 1 | 6k |
| 2 | 12k |
| 3 | 18k |
| 4 | 24k |
| 5 | 30k |
| 6 | 36k |
| 7 | 42k |
| 8 (Trailblaze engaged) | 48k |
| 9 | 65k |
| 10 | 100k |
| 11 | 145k |
| 12 | 200k |
| 13 | 260k |
| 14 | 320k |
| 15 | 380k |
| 16 | 430k |
5.5x
Acceleration in delivery rate
Features shipped per month
Same team throughout.
Features shipped per month rose from about 5 per month before the engagement to about 80 per month after, peaking at 110.
5/mo
Before engagement
80/mo
After engagement
Why us.
A lot of firms talk about AI. Here's what's actually different about working with us.
We use what we teach
We've been running 100% AI-driven development since early 2025. Every recommendation we give is something we use ourselves, every day, on real production work.
Veteran AI-first practitioners
Our people are CTOs, CPOs, and very senior ICs. Every one of them has been shipping production code AI-first, every day, for over a year.
Engineering core, full-stack ready
Engineering is where we go deepest, and we bring dedicated experts for design, product, and marketing and sales when your work calls for them.
The team is the proof.
Each of us is a senior expert in our own field. Together we cover engineering, product, design and sales, and you work directly with us. No juniors.
Maxime
Product
Chief Product Officer at PMU, formerly head of product at Intermarché's 140-person digital team. He brings generative AI into how big companies build products. Chief Product Officer at PMU, and before that head of product at Intermarché, where he sat on the digital exec committee and ran a 140-person Digital Factory. He has led product and digital transformation for major French companies for over a decade, from La Poste to Rue du Commerce. His focus now is bringing generative AI into how big teams build products and serve customers.
Gilles
Engineering Backend
Layer's CTO. He built the infrastructure behind over a billion monthly visitors at Wikipedia, and now runs a 450k-line codebase almost entirely with AI. Layer's CTO, with over twenty years leading distributed engineering teams. At Wikipedia he built core infrastructure serving more than a billion visitors a month, and represented the Wikimedia Foundation at the W3C, the body that sets web standards, working alongside the major browser makers. His team now runs a 450,000-line codebase almost entirely with AI.
Guillaume
Sales
A B2B sales and go-to-market specialist. He opens new markets, embeds with a team to find what is slowing the sales motion, and fixes it, increasingly with AI. A B2B sales and go-to-market specialist, trained at EDHEC and Centrale Lille. He has opened new markets across Europe, helped scale a startup from €40k to €70k MRR in 90 days, and launched a B2B line that signed 150+ clients in ten months. He embeds with a sales team, sees where it is headed, and removes what is slowing it down, more and more with AI.
Glauber
Design
Head of Design at Layer, where he also shapes the product. He co-founded Aprender Design, a beloved design school, and designs with AI. Head of Design at Layer, where he also shapes the product, and Principal Product Designer at Expa, working alongside leading investors. He co-founded Aprender Design, a beloved design school with thousands of alumni worldwide. He believes that if you can design one thing you can design everything, and now brings that to designing with AI.
Daria
3D & Tech Art
A 3D and technical artist who has shipped games and VR experiences, from a co-op life sim on Steam to real-time VR training. She builds her own AI tools for Blender and Unreal, and covers 3D art, QA and vibe engineering. A 3D and technical artist trained between the UK and France, from graphic design and illustration at Hertfordshire to game art at ArtFX and Objectif 3D. She has modeled, textured and animated across the games industry, from the co-op life sim Vivaland at HiveFive Interactive to real-time VR training experiences. She builds and releases her own AI-assisted tools for Blender, Houdini and Unreal, and at Trailblaze she covers 3D art, QA and vibe engineering.
Mathias
Engineering Frontend
Serial founder of Apple-celebrated apps. He single-handedly built the iOS apps for Hyper and Mighty, and has built with Claude Code since its earliest days. A serial founder with over a decade shipping iOS apps. He single-handedly built the iOS apps behind Hyper, named among Apple's Best of 2015 and 2016, a #1 Best New App in over 100 countries and a Red Dot winner, acquired within a year, and Mighty, an Apple Editor's Choice. He has built with Claude Code since its earliest releases, and now uses it in production at Layer.
Trusted by
Teams who brought us in to make AI real in how they build and ship.
Backupta
Backupta builds secure, automated backup solutions for businesses. We helped every team shift to AI-first workflows and built custom AI-powered tools that now run across their entire operation.
Lyvoc
Lyvoc is a cybersecurity integration partner deploying Okta, Drata and Vanta across Europe. We trained their teams to work with AI at every level and developed bespoke tools that accelerate how they deliver for clients.
Alma
Alma is a leading European payments company, providing instalment and pay-later solutions across the continent. We work with their engineering teams to embed AI deeply into how they design, build, and ship.
A flat daily fee per expert. No mystery, no padded quotes.
The first conversation is free. After that you pay only for the days we work. If the work grows, you approve more days. No lock-in.
The questions a skeptical buyer asks.
How are you different from an integrator (ESN)?
An integrator builds what you ask for, then leaves. We make your own team able to build with AI, so the skill stays in-house.
Why not just hire in-house?
Hiring senior AI talent is slow and expensive. We bring that level now, transfer the skill, and leave your team ready to run without us. No permanent headcount.
How is this different from a Big-4 consultancy?
A Big-4 sends a junior with a slide deck. You get senior experts who sit with your team and do the real work. Smaller, faster, hands-on.
What if we're total beginners with AI?
That is the ideal place to start. The teams we help most already have the tools, but no one to show them how to use them well.
Is our code and data safe?
We work inside your own environment and will sign an NDA. Nothing leaves it without your agreement, and we help you choose tools that fit your security rules.
How fast can we start?
We can have a first call within the week, and start a few days after we agree, just enough time to prepare your material.
Find out where AI will actually move the needle for your teams.
Book a diagnostic call. No obligation.