I started mr.technology after spending too much time auditing modules myself. Couldn't find a trusted source, so I built one. and operators discover, verify, and deploy trusted AI workflows — without spending hours on integration and security auditing yourself.
Every AI tool you find online promises to just work. Every AI agent you find — every OpenClaw skill, every Composio binding, every GitHub repo promising to "just work" — comes with a trust gap. Does it do what it says? Does it leak credentials? Does it pull from known-malicious dependency chains?
I tried both approaches. Auditing everything myself ate weeks. Deploying blind cost me in production. Neither was sustainable.
This is the layer in between. I do the auditing and verification. You get stacks you can actually deploy.
Vetted AI modules with safety tier ratings, deployment readiness scores, and audit history. Search by use case and filter by the risk level your infrastructure can tolerate.
Technical dispatches with real audit findings, dependency trees, and actionable deployment artifacts. No fluff — just the parts that matter for operators.
Complete multi-skill workflow stacks, pre-tested to work together. Download an entire pipeline — not a list of tools you still have to integrate yourself.
A weekly dispatch covering zero-days, agentic infra patterns, and deployment playbooks. No hype. No sponsors. Just technical intelligence worth acting on.