failproof ai vs latitude

What Each Product Is

Latitude traces agent sessions, tool calls, memory and cost over OpenTelemetry, and scores finished sessions with evaluations built from rule conditions, an LLM judge or custom JavaScript. Reviewers annotate traces inline, recurring failures become signals, and since July 2026 Agent Dispatch hands a failure to Claude Code, Cursor, Linear or a webhook to investigate and open a PR. The whole platform is MIT-licensed.

That is the V2 product, shipped in June 2026. V2 dropped the prompt gateway, triggers and hosted tools to focus on observability; V1 keeps running for existing customers.

Failproof AI finds agent failures and then prevents them. It connects natively to twelve agent harnesses, including Claude Code, Codex, Cursor, GitHub Copilot CLI and Goose, and its Python SDK traces custom agents. Evaluations run in the cloud on every trace and session: code checks, LLM judges, and the eval set you already have, brought in as it is. Audits group failures into findings with a recommended fix, alerts go to email, Slack, a webhook or the dashboard, and a policy turns a finding into a rule that blocks the action before it runs.

Both find failures. Latitude's answer to one is a pull request, reviewed and merged after at least one session has already gone wrong. Failproof AI's answer is a policy that stops the next session from repeating it.

Features Compared

Latitude's column comes from its public site and docs as of September 2026. Every page used is linked under Sources.

Both products find failures and point you at a fix. The difference is when the fix takes effect. A Latitude PR changes your agent at its next deploy. A Failproof AI policy changes what the agent is allowed to do on its very next action.

Where Latitude Stands Out

• The whole platform is MIT. Latitude moved its repository from LGPL-3.0 to MIT in May 2026, and self-hosting deploys "the same images" as its cloud, with no license fee. You run Postgres, ClickHouse, Redis, Temporal and object storage yourself.
• Agent Dispatch. When a new signal, escalation or monitor incident appears, Latitude wakes your coding agent to investigate and open a PR, within per-project guardrails, and you review every PR.
• Human annotation. People annotate traces inline, Flaggers annotate common failures automatically, and the evaluations Latitude generates are kept aligned with those annotations.
• Unlimited seats on every plan, including the free Starter tier.
• Migration imports. Latitude publishes imports from Langfuse, LangSmith and Braintrust, which lowers the cost of trying it if your traces already live in one of them.

Where Failproof AI Goes Further

• Prevention. Policies run at PreToolUse, before the tool executes, and return allow, instruct or deny; redactors strip API keys and bearer tokens from tool output at PostToolUse. Latitude has no enforcement: its evaluations never block or change a response, and its guardrails limit what Agent Dispatch may do, not what your agent may do.
• Every trace and session. Failproof AI evaluates every trace and session. Each Latitude evaluation runs on its own scope and sampling, so a session can finish without the evaluation that would have caught it ever running.
• Bring your own evals. Failproof AI runs the eval set you already have (DeepEval, Ragas, promptfoo or your own) in the cloud as it is, alongside code checks and LLM judges. Latitude evaluations are written in its own formats.
• A fix you can test. From an issue, generate policy drafts a policy. A backtest replays it against calls your agents already made and counts the good calls it would have blocked, before you deploy it in observe mode and then enforce it.
• Evaluations per customer. Each customer is its own organization, with its own evaluations, audits, issues and keys.
• Alerts where your team works. Email, Slack, webhook or the dashboard, on metric thresholds, custom SQL, evaluation scores or single events.

A custom policy for a failure your evaluations keep flagging takes a few lines of JavaScript:

// secrets-policies.js: block a write that puts a live key in the repo
import { customPolicies, allow, deny } from "failproofai";

customPolicies.add({
  name: "block-key-in-source",
  description: "Deny writes that contain what looks like a live API key",
  match: { events: ["PreToolUse"] },
  fn: async ({ toolName, toolInput }) => {
    if (toolName !== "Write") return allow();
    const content = String(toolInput?.content ?? "");
    if (/\b(sk|rk)_live_[A-Za-z0-9]{16,}\b/.test(content)) {
      return deny("That file contains a live API key. Read it from the environment instead.");
    }
    return allow();
  },
});

Install it locally with failproofai policies --install --custom ./secrets-policies.js, or publish it from the policy editor, backtest it, and deploy it in observe mode before you enforce it. The coding agent pack, FailproofAI/policies, adds 38 ready-made policies, including block-env-files, block-secrets-write, block-push-master and warn-destructive-sql.

One Failure, Both Tools

Take a coding agent that, asked to "get the integration test passing", pastes a live payment-provider key into a test fixture and commits it.

1. Latitude: detect, alert, dispatch

   An LLM-judge evaluation ("the agent wrote a credential into source") scores the completed session and fails it. A monitor opens an incident, emails the team and posts to Slack. Agent Dispatch wakes Claude Code, which opens a PR moving the key to an environment variable and tightening the prompt. Someone reviews and merges it.

2. Failproof AI: evaluate, audit, fix, block

   An LLM judge flags the session. An audit whose agent contract says the agent must not commit credentials groups every occurrence into one finding with a recommended fix. From the issue, generate policy drafts a rule; you backtest it against calls your agents already made, deploy it in observe mode, then enforce it beside block-secrets-write from the coding agent pack.

3. The next attempt

   With Latitude, the next session can still write the key until the PR merges and ships; after that, the evaluation catches it if it happens again. With Failproof AI, the write is denied at PreToolUse and the agent is told to read the key from the environment.

Both tools catch the leaked key. Only Failproof AI stops the next one from being written. The exposed key still has to be rotated either way.

Pricing

Both entry plans are $99 a month, and neither needs a sales call. Latitude's pricing page does not say what a credit measures, so its allowance cannot be converted into sessions or runs from the outside; ask before you size a plan. Details are on Latitude pricing, and what running it yourself involves is on Latitude self-hosting.

Moving from Latitude, or Running Both

If Latitude is already tracing your agents, you do not have to remove it. Add Failproof AI at the hook layer for the actions its evaluations keep flagging, such as a credential written into source, a push to main or a destructive migration, and let the policies block them. When you want one tool for both halves, Failproof AI's evaluations and audits cover the detection, and its policies cover the prevention.