While you're still deciding whether to learn AI, someone in your market is already delivering in hours what takes you weeks. Here, you become that someone.
Between knowledge and operation there's a distance. That's where adoption dies, and it's exactly the span you cross here.
The difference isn't in the tool. It's in architecting context, composition, and controls around the model. Think of a crossing: on one side, whoever asks AI for tasks and copies the answer; on the other, whoever architects it to execute work on its own. Each lesson is editorial prose with a diagram and an exercise, and each span of the bridge only rises when you build the real artifact, with your actual task as the load you carry across.The difference isn't in the tool. It's in architecting context, composition, and controls around the model. Think of a crossing: on one side, a team that asks AI for tasks and copies the answer; on the other, a team that architects it to execute work on its own. Each lesson ends at a workbench where every person builds the real artifact on an actual task from the operation, and that's how training stops being a slide and becomes adoption you can measure.
Your journey lives in a 3D blueprint-style world, drawn like an engineer's drafting table. Each level is a bridge; each completed lesson raises towers, tensions cables, and closes a span of the deck. When you finish a level, you watch the crossing ceremony: the deck lights up and your figure crosses the bridge you built. And when you come back, the build is exactly where you left it.Every person on the team has their journey in a 3D blueprint-style world, drawn like an engineer's drafting table. Each level is a bridge; each completed lesson raises towers, tensions cables, and closes a span of the deck. You stop looking at a list of who watched the course and start seeing the team's progress become a build: who's on which bridge, where adoption is moving, and where it's stuck.
Your account has a build dashboard: the crossing ring, progress on each track, the construction milestones (from Foundation to the Crossing), and the workbenches you've already unlocked. Your progress follows you on any device, and your diagnostic history is saved so you can compare your evolution.
Lesson, workbench, curated library, and diagnostic all live in the same hub. You don't get a folder of videos, you enter an environment where every concept is operable.






Five tracks plus the archive. You start from where you are and build the passage to the shore you want to reach. Everything unlocks with your account.
Day-to-day work with AI: context, orchestration, agents, and decision architecture.
unlocks with your accountHow AI works under the hood, no math and no jargon.
unlocks with your accountLead the adoption, own the risk, and cross with the team.
unlocks with your accountEngineering of controls around the model: brakes, governance, and output auditing.
unlocks with your accountThe AI you've crossed becomes real work: Finance, Legal, and Sales.
unlocks with your accountLibrary of papers and repositories, workbenches, and diagnostic.
unlocks with your accountThe science from 2024 and 2025 is blunt: using AI the wrong way weakens your mental muscle. The same studies that scare the market are our thesis. B2AI teaches the cognitive architecture of people who operate AI while strengthening their thinking, not outsourcing it.
That's why the Cognitive Architecture track exists: how the machine thinks, the mental muscles that accelerate AI mastery, the blocks that limit you, and the protocol for using AI while strengthening the mind. The one layer that never becomes a commodity when the model changes.
Here, the concepts the market throws onto a slide become living maps you inspect piece by piece. The harness map is the example: the engineering that holds AI together in production, with a planner, executor, evaluation, and sensors. You click each component, understand what it does, where it fits in the flow, and which lesson makes you fluent in it.
It's the difference between reading about an engine and taking the engine apart with your own hands. Nobody forgets what they've taken apart.
When Satya Nadella says "tokens are the new capital," half your feed applauds without understanding it, and the other half is deciding the future of your field. The Decoder takes the video that's going viral and translates it, clip by clip, what was said and what it changes for your work, connecting every idea to the lesson that makes you fluent in it.
Every week, what AI leaders are saying, decoded in plain English. Stop floating along in the most important conversation of the decade.
The founding cohort of the first course — from market executives to AI directors — telling, in their own voice, what changed at work after architecting instead of just using AI.
Nine professionals who never coordinated tell the same crossing — from “I thought AI was a better Google” to “today I’m far ahead of whoever still uses AI as a search bar”.
Start today, on your own, at your own pace. The crossing begins with the individual plan, and the founder offer locks in the annual plan at the best price of the year for the first people to cross. You don't need anyone's approval to take the first step.Bring the crossing to the whole team. The same platform that trains one person trains the operation, and the corporate plan is by consultation because every company starts from a different point. There's a single value anchor: more with the same people.
Pay by card via Stripe. Annual auto-renews; cancel anytime before the next cycle.
One subscription, the whole package: the platform, Thiago's community, and the arsenal to put AI to work for real.
Adoption becomes measurable. The diagnostic measures the team's starting point and gives you the baseline to track the crossing with position, progress, and evidence. Above all, a single anchor counts.
12 years in strategy, finance, and high-complexity management at Itaú, 99, and Grupo Boticário. Then, more than 6,600 hours inside applied AI: building, redesigning operations, measuring. The thesis is simple: it's not about adopting a tool, it's about redesigning the company. 93% of the problem is human.
AI won't take your place. A colleague who's learned to architect it better than you will. Staying on the surface gets more expensive every month, and the window for those who get ahead won't stay open forever. Cross now.While the market scrambles to hire people who understand AI, your way out is simpler: the same people delivering more, because AI took over the low-value work. Every month on the surface is operation you're leaving on the table. Cross with your team now.
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