Beyond Chatbots: Can We Give AI Agents an 'Undo' Button? Exploring Gorilla GoEx 🦍

Source: Dev.to

Shift from Chatbots to Autonomous Agents

The world of Large Language Models (LLMs) is shifting. We are moving from simple chatbots that just “talk” to autonomous agents that can actually do things—sending Slack messages, managing files, calling APIs, and more.

But there’s a massive problem: trust. How do we stop an LLM from sending a wrong email or deleting a critical database entry?

GoEx: The Post‑Facto Paradigm

Post‑Facto Validation

Instead of over‑analyzing the code before execution, GoEx (Gorilla Execution Engine) lets the LLM perform the action first and then gives the human two powerful safety nets:

• Undo Feature – If the LLM sends a Slack message or creates a file you don’t like, you can simply revert the state.
• Damage Confinement – It restricts the “blast radius” by limiting permissions (e.g., the LLM can read emails but can’t send them without extra clearance).

The Missing Piece: The “Social Damage” Gap

Problem – Technical Reversibility ≠ Social Reversibility

If an LLM sends a sensitive Slack message and the recipient reads it within seconds, deleting the message afterward doesn’t solve the problem. The information leak has already occurred.

My Take: Towards Semantic Damage Confinement

To bridge the gap, we need a semantic damage confinement layer that adds social awareness to technical safeguards:

• Risk‑Based Buffering – Delay high‑risk messages based on sentiment analysis or other risk signals.
• Context‑Aware Throttling – Switch back to “pre‑facto” validation automatically when an action is deemed socially irreversible.

Resources

• 📄 Paper:
• 💻 GitHub: