Main proof path
- DriveDesk AI Operator: flagship AI sales/support workflow case.
- DriveDesk Core: operations and integration platform foundation.
- AI Ops Workflow Kit: live FastAPI AI/RAG workflow backend.
Clean public proof route
DriveDesk AI Operator: backend-owned AI workflow proof.
I build systems where documents, call audio, transcripts, CRM leads, and knowledge-base records become RAG-backed analysis, lead scoring, follow-up drafts, Telegram approvals, CRM actions, audit logs, retries, and runbooks.
What I prove
- AI tooling accelerates execution while architecture, verification, deployment, and quality stay my responsibility.
- n8n stays an orchestration layer while backend code owns state, RAG, contracts, retries, audit, and idempotency.
- External writes are guarded by approvals, dry-run adapters, observable handoff events, and recovery paths.
Best-fit work
- Remote backend/platform and AI automation roles.
- RAG, transcript/call analysis, approval workflows, CRM/ERP/API integrations, and internal tools.
- Fixed-scope projects where the output is a working business system with tests, docs, and handoff.