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Screenshots coming once content is finalized.
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An AI operations engine that runs 7 revenue campaigns with 17 autonomous agents and zero daily manual intervention.
Running 7 AI campaigns manually meant someone had to watch every pipeline, chase every failure, and coordinate every handoff. That someone was Dan. Hours disappeared into monitoring work that should have been automatic.
Six core engines working in concert, with no human coordination required.
Unified dispatch system routing jobs across 17 autonomous agents. One gateway, every campaign, no manual assignment.
Deterministic pipelines with defined inputs, outputs, and failure paths. Each agent creates the next job on completion. No orchestrator in the loop.
Health monitoring with automatic retry and dead-letter handling. Stalled or crashed agents are detected, retried, and escalated without anyone watching.
Encrypted API vault managing credentials for every external service. AES-256-GCM storage with per-agent rate limiting and an approval workflow for burst requests.
QA gates that block bad output before it reaches production. Brief adherence scoring rejects below-threshold work automatically without human review.
12 background engines handling scheduling, research, content, outreach, and reporting. Each engine reports health to a live registry around the clock.
Every component communicates through well-defined boundaries. Agents never touch infrastructure directly.
The system dispatches, monitors, retries, and reports without human intervention. Dan checks dashboards. He does not babysit processes.
Screenshots coming once content is finalized.
Jobs Kanban Board
Calendar View
Agent Roster
I build autonomous agent pipelines, operations infrastructure, and internal tools. dan@diazovate.com