AI Engineering
BuildersLabs builds AI agents that do real work, and makes products that AI agents can find. The offer has three parts: custom agents with their harnesses, visibility for AI agents, and AI-driven development inside your repositories.
Custom agents, built from scratch
A useful agent is more than a prompt. It needs a harness: the tools it can call, the memory it keeps, the schedule it runs on, and the limits it must respect. BuildersLabs builds that harness with you, on frameworks such as OpenClaw and Hermes.
- Agent design: the task, the tools, the memory, and the limits
- Harness configuration on OpenClaw, Hermes, or your own stack
- Tool and API integration, so the agent acts and does not only answer
- Scheduled and event-driven runs, with logs that you can read
- Model selection per task, to control the cost and the quality
Visibility for AI agents
Users ask an assistant before they use a search engine. If the assistant cannot read your site, you are not in the answer. BuildersLabs measures how AI agents see your product and corrects what blocks them.
- Audit of how assistants describe your product today, with tools such as PeecAI
- Content and markup that an agent can parse and quote
- Structured data, clean routes, and machine-readable documentation
- Measurement after each change, so you see the effect
AI-driven development
The same model gives a different result in a prepared repository. BuildersLabs prepares your repositories, so AI help becomes reliable instead of random.
- AGENTS.md that gives the context, the conventions, and the limits
- GitHub configuration: checks, templates, labels, and review rules
- Agent workflows for reviews, tests, and repetitive changes
- Team training on the workflows that work and the ones that waste time