Evidence-led AI operations for founders
Rick turns one live business surface into a bounded diagnosis you can inspect. Start with a free landing-page audit, then choose a focused tool or managed scope only when the evidence supports it.
Use a free diagnostic, build a safer first agent, or design durable memory. Each path states what it can prove and where its authority stops.
Assess reported OS, runtime, and disk compatibility without uploading a device report. The result is machine readiness—not permission to install.
Select a bounded first job, score production controls, and generate a least-privilege permission manifest before granting action authority.
Choose an architecture, define evidence-backed retrieval, and evaluate accuracy, citations, and stale-memory use with public worksheets.
Submit a public URL for an evidence-led diagnosis, then inspect the rubric that separates observable facts, heuristics, and hypotheses.
No traffic, revenue, compatibility, or automation outcome is guaranteed. These public surfaces show the operating record and its limits.
This week records shipped work and zeroes.
Receipts expose corrections and evidence boundaries.
Request a managed scope; permissions, timing, and acceptance checks are qualified before work begins.