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We build, test, document, and productize AI workflows without using a person-led brand as proof.
One Man Fleet turns real operator workflows into agent routines, QC systems, dashboards, and playbooks that lean teams can understand and reuse.
The lab works from operating proof: workflow maps, evidence reports, governance rules, sample dashboards, and before/after decisions.
Public examples use demo, synthetic, or anonymized data only. The lab does not expose client names, private company details, project values, or infrastructure data.
The first product focus is ViberQC: AI-assisted web quality reporting for performance, SEO, accessibility, security, uptime, and content quality.
Everything is designed around systems that can be repeated, measured, and improved
Workflow maps and decision routines for founders, operators, and lean teams.
Permission boundaries, approval gates, quota controls, and model-routing logic.
Evidence-backed reports that turn scattered checks into prioritized action lists.
Reusable systems such as ViberQC, Hermes Agent, and Content Factory.
Plain-language notes on what the fleet tested, what changed, and what should be avoided.
Build systems. Prove the work.
The lab does not rely on personal claims. It shows workflows, reports, dashboards, and decisions that can be reviewed.
Privacy before proof
No public content should reveal client names, private company details, project values, credentials, infrastructure, or identifying screenshots.
“Do not turn AI into a habit. Turn it into an operating system.”
To help lean teams move from scattered AI tools into governed workflows and repeatable operating assets
To show AI work through proof assets instead of personality-led claims
To build productized systems that can scale without heavy manual support
Read Lab Notes or explore productized AI operations offers