24 hours of a zero-person company
Running Vocion's marketing entirely on agents for 24 hours: one machine, four models, human-in-the-loop, every change a PR.
12 posts. Tags are topics; for the editorial split see Feature releases and Developer updates.
Running Vocion's marketing entirely on agents for 24 hours: one machine, four models, human-in-the-loop, every change a PR.
What self-hosting an agentic workflow platform ran in September 2026: Postgres, Temporal, Langfuse, an app server. Updated for 5.0: Temporal was removed in 4.0.
Which version of the agent did that? A concrete schema for AI agent versioning and audit trails: version rows on apply, a workspace SHA on every tool call.
When a human edits, approves, or rejects a draft, that decision can become a rule the agent reads next time — but only after a person approves it.
Vocion's review queue API: GET /api/v1/reviews lists an org's pending agent actions, POST /api/v1/reviews/decide approves, rejects, or edits one.
What to trace when many agents run: per-org, per-agent, per-feature cost, tool calls linked to a workflow, and the schema behind it.
What an open-source agent workforce platform is, what it must include, and how Vocion implements it with git-authored agents, approvals, and audit.
Use SaaS for generic tasks. Use Vocion for the AI workflows you need to own, audit, and extend. Not anti-SaaS — anti-lock-in.
Vocion is open source under MPL-2.0, so your company can self-host it, modify it, embed it, and commercialize what you build on top. Open framework underneath; proprietary value on top.
Turn repeatable expertise into scalable, AI-enabled delivery — without removing human judgment. Which workflows are good candidates, and how the path works.
The fastest path to AI value isn't a brand-new process — it's improving a workflow your team already runs every week. A six-step way to do it.
The best AI workflows don't just save a few minutes — they change the operating model. Where AI creates leverage, and why the workflow matters more than the model.