Alfred, an AI Operations Framework – TechChaps R&D

Alfred is TechChaps' own AI operations framework: the machinery we use to run our business every day, and the proof behind the AI services we sell. We did not build a demo; we built the system that does our work.

How it works: every substantial piece of work becomes a mission in a durable queue. Alfred routes each mission to the right pipeline (software delivery, infrastructure, desk research, design, communications, bookkeeping and more, 23 in all) where a lead agent plans the work and dispatches it to specialised agents with defined roles.

• 50 specialised AI agents: writers, builders, adversarial reviewers, testers, researchers and verifiers, each with a bounded job
• Hard review gates: code is reviewed by independent agents, claims are verified against sources, and anything customer-facing waits for human approval
• A browser automation engine for real-web tasks: research, verification, screenshots, form flows
• A versioned knowledge vault as the single source of truth: decisions, missions and outcomes survive every session
• Asynchronous operation: missions can be filed and tracked over chat, and Alfred works the queue

The result: TechChaps runs on Alfred daily: research reports with verified citations, code shipped through multi-agent review, finance and operations kept current. It is the difference between using AI tools and operating with an AI workforce, and it is exactly the capability we build for clients.