Agent workflows
The job runs on agents, not on an on-demand desktop. A human signs off before anything hits production.
Ontario corporation · US and Canada
Companies that cannot put work through a public LLM still need agents. We put self-hosted models, a custom proxy/model-router, and a human gate before production. Train-the-trainer. Microsoft 365 Teams and tenant admin when the shop is regulated.
AI-first workflows for teams that cannot put work through a public LLM. Staff off the on-demand desktop onto agents that run the actual job, with a human gate before production. Train-the-trainer.
The job runs on agents, not on an on-demand desktop. A human signs off before anything hits production.
Self-hosted models and a custom proxy/model-router on your side of the wall. Not a public LLM dump.
Teams and tenant admin for shops that already run Microsoft 365 under audit, legal hold, and risk review.
Cloudflare on 80/443, then nginx, then the app. cloudflared tunnels. Tailscale or WireGuard so the box is not on the public internet. Same for APIs and webhooks. Workers, Pages, Docker, inbound parse, outbound mail are shipped. That is the edge, not an AI-gateway case study.
A feature request opens a work item. Work happens on a git worktree. Merge to main is a pull request. That is the gate. Overmind uses GitLab CE work items for jobs, incidents, and prod.
Nothing runs until a feature request is a work item.
Work happens on a git worktree, not on main.
Merge to main is a pull request. That is the gate.
No client list. These are live.
Companies that cannot put work through a public LLM still need agents. The models, the router, and the approval gate stay on your side of the wall.
No Claw. No tkrswap. No client list. Consulting primer.
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