Failproof AI provides a reliability layer for autonomous agents by monitoring every prompt, tool call, and result in real time, identifying failure patterns such as loops, hallucinated calls, and goal drift. It automatically generates and enforces policies—either from 39 built‑in options or custom scripts—to block destructive actions, request human approval, or reset the agent, all with a local‑only, plug‑and‑play deployment.
Funding
Funding not disclosed
Founders
Product
Problem
Autonomous AI agents can enter failure modes such as infinite loops, hallucinated tool calls, or drifting away from their intended goals, which can waste compute, cause incorrect actions, or lead to unsafe behavior. Without real‑time oversight, these failures are hard to detect and prevent, especially when agents run in production environments where reliability is critical.
Solution
Failproof AI provides a real‑time reliability layer that monitors every prompt, tool invocation, and result produced by an autonomous agent. The platform automatically identifies failure patterns—loops, hallucinated calls, context drift, or dangerous actions—and applies drop‑in policies to block or redirect the offending behavior. Users can choose from 39 built‑in, local‑only policies or create custom scripts that enforce safety rules without sending any data off the host machine. Policies are enforced instantly, summarizing progress, resetting loops, or prompting human approval for risky actions, thereby keeping agents aligned with their original objectives. The system records end‑to‑end traces that are replayable for post‑mortem analysis, enabling continuous improvement of agent reliability.
Target Audience
Primary customers are engineering teams that deploy autonomous AI agents in production—such as developers building LLM‑powered assistants, tool‑using bots, or AI‑driven automation pipelines.
Features
- Live, step‑by‑step tracing of every prompt, tool call, and output with replayable session logs
- Automatic detection of common failure modes such as infinite loops, hallucinated tool calls, and goal drift
- Plug‑and‑play policy enforcement: one‑line installation of 39 built‑in policies or custom policy scripts
- Local‑only execution ensures no data leaves the host machine, preserving privacy and security
- Real‑time blocking of unsafe actions with optional human‑in‑the‑loop approval prompts
- Summarization and restart mechanisms that break loops and reset agent state without manual intervention