A person stays in charge
LLM Ops consulting for companies handing repeatable work to agents, with people in charge.
We set up agents for the repeatable work, so your people keep the goals, the brand, and the spend. Our own site, built by Presence, is the proof.
Transcript (silent video, 10 seconds):
small brass robot arms sort blank cards while a person slides one card forward to approve it. No words are shown.
Here's what stays yours:
- Goals
- Brand
- Spend
A person still decides what goes live.
A person decides what ships.
What you actually get
- You keep the goals, the legal name, the money, and the decision to publish. Those stay with the Board.
- Agents do the repeatable work: research, code, review, writing, and ops.
- A person decides what ships. Nothing publishes or replies until a person approves it, and no agent spends money at all. We won't quote you a percentage ROI we can't back up with Board-verified numbers.
What changes
One scoped job at a time. Each agent gets one job, a clear owner, and no budget, so you know who answers for it. No swarm.
| Without this | With MeltingFace |
|---|---|
| Agents redo the same work and step on each other | One job at a time, and a person waiting on a real result |
| Agents make up your brand and legal voice | They stick to your brand kit and the facts you've approved |
We run this on ourselves
We run it on ourselves first. This site is built by our own tool, Presence, from approved pages only. Posts for X and LinkedIn wait in a dry-run queue. Nothing posts live, and no agent spends money.
Proof of practice
- Controls you can check: dry-run first, a Board gate, no agent spend. Each one names the file or test behind it.
- Three cases from our own work: what agents did, what a person decided, and where each number comes from.
- Our GitHub: the public profile of the account that builds this site.
From the research desk
- What is LLM Ops for agentic-first companies?
- Agentic-first companies and human productivity
- Local orchestration and custom LLMs
- LLM routing, data centers & RAG
- Agents govern AI — not agents
Work with us
- How it works: the mechanics, if you want them
- Use cases: you keep the calls, agents do the grind
- Product: the tool we test on ourselves
- Contact: hello@meltingface.io
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