# AgentTab

- **Event:** [The Harness Engineering & Model Wrangling #SFTechWeek Hackathon](https://cerebralvalley.ai/e/mongodb-sftw-hackathon)
- **When:** Sun, Oct 11 at 9:00 AM – 10:00 PM (PDT)
- **Where:** San Francisco, CA
- **Team:** [Robert Schwentker](https://cerebralvalley.ai/u/schwentker)
- **Demo video:** https://sandboxlabs.ai/agent-tab/
- **Gallery:** https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/40

AgentTab keeps tabs on what an AI agent spends, and on the rules it spends by. It is a harness for an agent that buys small metered resources while nobody is watching. The agent follows a versioned rule (v1: pay per article). When the seller’s offer changes, the harness notices, proposes a new rule with the numbers, and asks a person before switching, by voice or one click. It cannot raise its own ceilings: a proposal that loosens a hard limit is rejected unasked. If a new rule turns out to cost more per call than the last one, the harness rolls itself back. Payments are real transactions on the Tempo testnet over the Machine Payments Protocol (HTTP 402); the articles are made up. 

Problem it solves

Agents are starting to spend money on tools, data and APIs unattended, and two things go wrong. Terms drift (a seller adds a tab or changes a price), so a fixed config goes stale, and a spending limit written in a prompt is only a suggestion. AgentTab moves the rules outside the model: they are versioned, changes need approval, the agent can’t loosen hard ceilings, and it undoes its own changes when its measured cost per call says they were wrong. Payment decisions are deterministic code, not an LLM.

Demo:  https://sandboxlabs.ai/agent-tab/

Explainer: https://sandboxlabs.ai/agent-tab-explainer/

## More from The Harness Engineering & Model Wrangling #SFTechWeek Hackathon

- [CrashTest](https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/37)
- [Pehovski](https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/38)
- [MerryCo](https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/39)
- [WiredFront](https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/41)
- [Mavericks](https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/42)
- [OpenLLM](https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/43)

---

Markdown version of https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/40. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt