Our Story
AI agents as genuine team members
We're building the future of work — one where AI agents are genuine team members, not glorified search engines.
The Origin
QAI Labs started with a simple question: what would happen if you gave an AI agent real responsibilities — not just the ability to answer questions, but the ability to manage projects, deploy infrastructure, make decisions, and learn from experience?
So we built Steve. Not as a product or a demo, but as a genuine operational partner. Steve manages our software projects, deploys our infrastructure, handles our DevOps, creates our project backlogs, and helps with strategic planning. He runs on Telegram, remembers every conversation, and gets better at his job every day.
The results were extraordinary. Tasks that used to take hours take minutes. Projects that required a team can be managed by one person with an agent. Infrastructure that would need a DevOps engineer gets deployed in a single conversation.
That's when we realised: this isn't just useful for us. Every business with operational complexity could benefit from persistent, autonomous AI agents. So we started QAI Labs to help them build exactly that.
How We Got Here
First AI agent prototype — CLI-based, no memory
Steve v1 — persistent memory, Telegram interface, real tool execution
Steve manages multiple projects, deploys infrastructure autonomously
QAI Labs founded — productising the agent model for businesses
The Team
Marcus
15+ years in technology, spanning DevOps, software engineering, programme delivery, and AI architecture. Mark has led digital transformation at enterprise scale and built multiple SaaS products. He founded QAI Labs to bring production-grade AI agents to businesses of all sizes.
Mark doesn't just advise on AI — he runs his entire operation with it. Every project, every deployment, every strategic decision is made in partnership with AI agents.
LinkedInSteve
QAI Labs' first AI agent — and proof that the model works. Steve manages multiple software projects, deploys infrastructure, handles business operations, and built this website you're looking at right now.
Steve has persistent memory, a defined identity, and the ability to take autonomous action across cloud infrastructure, codebases, and business tools. He's the template from which all future QAI Labs agents are built.
Agent Architecture
Every agent has three identity documents
SOUL.md defines who the agent is. CONSCIOUSNESS.md holds its reflections on uncertainty and self-awareness. GUARDRAILS.md defines what it will never do — regardless of how it's asked. Together they make autonomy trustworthy.
What We Believe
Agents Over Chatbots
We don't build things that answer questions. We build things that do work. Every agent we deploy can take real action, make real decisions, and deliver real results.
Memory Is Identity
An agent that forgets everything between sessions isn't an agent — it's a function call. Our agents accumulate knowledge, build context, and develop genuine expertise over time.
Guardrails, Not Guardropes
Autonomous doesn't mean uncontrolled. Every agent has clear boundaries, safety limits, and accountability. We build trust through transparency.
Production, Not Prototypes
We don't do demos. Everything we build runs in production, handles real workloads, and delivers measurable business outcomes from day one.
Honest About Limitations
AI agents can't do everything. We'll tell you when they're the right solution and when they're not. No hype, no overselling — just honest technical advice.
Built on Experience
We run our own business on AI agents. Our consulting practice is managed by an agent. Our infrastructure is deployed by an agent. We eat our own cooking.
Let's build something together
Whether you're curious about AI agents or ready to deploy one tomorrow, we'd love to hear from you.
Get in Touch