We build custom AI agents that run in production, and we get your team using AI to a standard you can trust. Hands on, embedded with your team, whatever size organisation you sit in.
"John delivered an outstanding presentation to our team on the topic of AI Agents. He conveyed a complex subject, from its origins and current state of technology to its limitations, in a simple, clear, and easily comprehensible way. We were particularly impressed by his expertise during the subsequent Q&A: well-founded and practical answers to strategic questions, and to the concrete impact of AI on our organisation. We wholeheartedly recommend him as an expert and thought leader."Head of Innovation · Swiss Federal Institute of Intellectual Property (IPI)
practitioners enrolled in Mastering Claude Skills — the method we use with clients.
years of applied AI delivery behind every engagement. Senior, hands-on — no juniors.
agent harnesses deployed in production — Claude, Claude Code, NemoClaw, Gemini, Codex, OpenClaw, OpenCode, Hermes.
Almost every rollout starts well. Early adopters push agents hard, output climbs, and leadership sees the numbers. Then more of the team comes on board, and quality starts to slip — not because the technology failed, but because nobody decided how the organisation would maintain its standards as usage grew.
That is the gap we work in. We help you turn your standards into shared infrastructure, so the productivity gains you were promised actually arrive, everywhere, and hold as you grow. The failure patterns are predictable — three come up again and again.
A large engineering org rolled Claude out and PR volume climbed. The cost landed on code review: senior engineers drowning, quality slipping below the pre-Claude baseline. Throughput looked great until the people who keep the codebase healthy stopped absorbing the cost.
Claude lets non-technical teams produce knowledge work at speed — but confident, polished slop rides along with it, more than anyone has time to verify. We routinely see documents go out with hallucinated clauses and out-of-date pricing. The volume hides the errors until one reaches a client.
The most common one. A few power users learn what good looks like, but that knowledge never becomes shared infrastructure. Everyone else starts from zero, so the rollout works for some and not others.
The fix is the same in every case: decide how you will maintain standards before scale forces the question. That is exactly what the Claude Skills Playbook lays out.
A deliberate ladder — start where your organisation is today. Every engagement is senior and hands-on, never a strategy deck with a junior to execute it.
When Claude is rolled out across a team, the failure is rarely that people refuse to use it — it is that most never learn to use it well. Hands-on Claude and Claude Code training, not slideware, and not limited to engineering: we work with product, operations, legal, marketing, and leadership as readily as with developers. Teams leave producing work to your standards and in your organisation's voice, not the model's default.
Good fit if Claude is already in the building, results are uneven, and your best people are spending their time reviewing everyone else's output.
Get your organisation onto Claude and Claude Code with the guardrails that keep quality high. We help you design the rollout: how teams adopt Claude for Enterprise, how engineers work with Claude Code day to day, and how you set standards, review processes, and version control so the work stays consistent as more people come on board. The outcome is adoption you can trust — not a tool that quietly drifts.
Good fit if you are planning or mid-rollout and want the standards layer in place before scale forces the question.
Agentic systems that do real work in production, tailored to your workflows — and not just for engineering. Research, analysis, and drafting agents for operations, legal, finance, and marketing teams. Agents embedded directly inside your own product and connected to your data. We build on whichever agentic harness fits the job, alongside the people who will actually use the work, so they can run and extend what we deliver. Not demos. Systems your people and your customers rely on.
Good fit if you have a workflow worth automating properly and want a system your own team can own after we leave.
Deployed in productionThe IT and engineering teams inside the Swiss Federal Institute of Intellectual Property (IPI) were curious about AI agents but wary, with real questions about the technology's limitations, the risks, and the impact on their work. We started with a workshop that took them from the origins of the technology to its honest limitations, and answered the strategic questions directly.
That session built confidence across the organisation. Its service development and innovation team then engaged us to advise on the architecture of an internal software research agent: one that reads across their codebase, issue tracker, documentation, and process logs — without their code ever leaving a governed environment. We guided the end-to-end architectural design, including the tooling integrations, guardrails, and governance their strict privacy requirements demanded.
A founder-led consultancy specialising in AI risk and ethical governance had spent years refining proprietary assessment frameworks, delivered by hand to clients in high-stakes, governance-heavy environments. To scale beyond manual delivery, the founder commissioned us to turn the method into a product. We began with a discovery phase covering the architecture, data flows, and a security model matched to the privacy demands of their client base, then moved into the build once the architecture was approved.
The platform is built on top of Claude. Agents convert the consultancy's framework documents into structured assessments, with a practitioner review gate at every step: the tool acts as a 'check engine light', never a replacement for expert judgement. It ships with customer and admin portals, encrypted document handling, a full audit trail, multi-respondent surveys, and report generation on the firm's own templates. The architecture is framework-agnostic, so new methodologies are uploaded as bundles with no redevelopment.
"I met John at an AI conference, and within minutes of connecting, I could tell his ethics and engineering principles were sound. That first impression only deepened as our conversation grew into a working relationship and I became his client. On the things that matter most to me, ethics and transparency, he never once disappointed.
How he builds tools is only part of the story. What sets John apart is the whole package: his professionalism, his flexibility, and a rare ability to grasp complex concepts quickly and translate them into genuinely flawless work. I work with engineers every day, and few operate at his caliber.
When the goal is to build agents or tools that are ethically engineered and responsibly built, John is my first choice without hesitation."
Dr. Veronica Lawrence-Ortega · CEO & Co-Founder, Inclusivity EQ LLC
The methods we teach are being put to work well beyond our client base. A six-person startup in Berlin used our Always-On Agent approach to run shared, multi-user agent sessions connected to their mail and databases, and adapted our Recursive Language Model pattern to build a complex tender-analysis workflow.
"It was your 'Always On' video that really helped us figure out how to manage sessions for our small team. It feels much smoother working as a team now."AI startup founder · Berlin
Everything we do with clients starts from a published method. Take it for free, go deeper with the course, or bring us in to build it with you.
Your standards cannot live in people's heads. A practical guide to turning them into shared infrastructure: how to build and govern Claude Skills across a growing organisation so quality holds as more teams adopt them.
The blueprint behind the autonomous, always-on agent setup that practitioners across the community have used to run long-horizon work and shared team sessions.
From First Principles to Organisational Scale — the same thinking we bring to client engagements, made available to individuals and teams. 40+ practitioners enrolled.
"It covered everything needed to get started with skills… being 'forced' to implement a first skill was exactly the right push."AI Researcher · Fraunhofer
Brainqub3 is led by John Adeojo, a CTO with more than ten years in applied AI delivery. We build custom agents and help teams use them to a standard they can trust. We are platform agnostic: we have delivered systems on Claude, NemoClaw, Codex, and other agentic harnesses, and we use whichever fits the job in front of us. When the choice is ours, we reach for Claude, because we believe it is the strongest foundation for agentic work: a serious safety posture, deep documentation, and a fast-maturing skills ecosystem.
We embed with your team and build alongside the people who will actually use the work. You get senior, hands-on delivery — not a strategy deck and a junior to execute it. We keep our focus narrow on purpose, and we publish openly so our thinking is out in the open rather than behind a sales deck.
No — we are platform agnostic and have deployed eight agent harnesses in production: Claude, Claude Code, NemoClaw, Gemini, Codex, OpenClaw, OpenCode, Hermes. We use whichever fits the job. When the choice is ours we reach for Claude, because we believe it is the strongest foundation for agentic work: a serious safety posture, deep documentation, and a fast-maturing skills ecosystem.
It starts with a discovery call: you tell us where you are, and we tell you honestly what we would do — which is sometimes "start with a workshop," not "hire us for a build." From there, every engagement is senior and hands-on. We embed with your team and build alongside the people who will use the work, so they can run and extend it after we leave.
Yes. For the Swiss Federal Institute of Intellectual Property we designed an internal research agent architecture where code never leaves a governed environment, with the tooling integrations, guardrails, and governance their privacy requirements demanded. Constraints like these are a design input, not an obstacle.
No — the biggest gains often sit outside engineering. We build research, analysis, and drafting agents for operations, legal, finance, and marketing teams, and our workshops run for product, operations, legal, marketing, and leadership as readily as for developers.
Any — the method scales in both directions. We have advised federal institutions with strict governance needs and worked with small teams; the community using our published patterns runs from six-person startups to large engineering organisations.
The UK. We work remotely and on-site with organisations across the UK, Europe, and beyond — recent work includes Switzerland and Germany.
Whether you want a custom agent built, your team brought up to standard on Claude, or a workshop to get people started: tell us where you are, and we will tell you honestly what we would do.
Brainqub