tilt.
Start free
Self-healing for AI agents

Your AI agents
fix themselves.

tilt. detects when your agent fails, steps into the conversation in real time, and patches the root cause —automatically. Observability, evals, and self-healing in one platform.

Node + Python SDK · Shadow mode to validate risk-free · No changes to your agent's logic

0M+
Conversations analyzed
<300ms
Mitigation latency
0
Self-healing layers
<1min
Setup with the SDK
The self-healing loop

From detecting to healing, with no human in the loop

Monitoring tells you something broke. tilt. goes further: it closes the loop across four layers, each one independently switchable.

A closed loop that runs itself
Layer 0

Detection

Always on

Semantic classifiers, guardrails and clustering catch critical signals on every turn.

Layer 1

Inline mitigation

<300ms

Steps into the live conversation —recovery message or handoff— before the user walks away.

Layer 2

Auto-patching

Offline

Diagnoses the root cause and proposes a config patch (prompt, tools, retrieval), validated with synthetic evals and canary.

Layer 3

Structural healing

Roadmap

Memory reconciliation, tool synthesis and RAG gap-filling when the pattern is structural.

Everything you need to run reliable agents

A complete platform: from the real-time trace to the patch that applies itself.

Layer 1

Inline mitigation

When a critical signal fires, tilt. steps into the live conversation (<300ms): a recovery message or a handoff to a human. Start in shadow to validate.

Layer 2

Auto-patching

When a failure becomes systemic, tilt. diagnoses the root cause and proposes a config patch, validated with synthetic evals and rolled out by canary.

Full traceability

Visualize every step of your runs —messages, tools, latency and cost— in a clear timeline.

Detection & guardrails

Detect loops, tool errors, invalid schemas and timeouts. Cap steps and block dangerous tools automatically.

Evals & regression

Build suites with golden datasets, run regressions and track pass rates before every change.

AI Analyst + Insights

An AI analyst reads your conversations, clusters failures by pattern, generates actionable insights and even creates guardrails for you.

Get started in minutes

Connect, watch in shadow, and turn it on when you trust it.

1

Connect your agent

Drop in the tilt. SDK (Node or Python) in a few lines. Start logging runs and conversations without touching your agent's logic.

2

Watch in shadow

Turn on shadow mode: tilt. computes which mitigations it would take and logs them, without intervening. Validate with real data, risk-free.

3

Turn on self-healing

When you trust what you see, switch to active mode. tilt. mitigates live and proposes patches for systemic failures.

This is how tilt. looks in action

Metrics, conversations and self-healing —all in one view.

tilt.Atlas Bank — Contact CenterSelf-healing: Shadow

Key metrics

Conversations (30d)

12,480

+8%

First-contact resolution

78%

+5pp

Mitigations (shadow)

156

+22

Auto-applied patches

4

Live conversation

I've told you three times my card is blocked. You keep sending the same link and it doesn't work.
I understand, and I'm sorry for the back-and-forth. I'm connecting you with a cards specialist right now.
Critical signal detected

user_frustration + agent_loop · confidence 0.94

Self-healing in action

human_handoffshadow

High frustration with repetition. tilt. would hand the customer to a cards-team agent before the conversation is lost.

Active guardrails

Anti-loop
PII redaction
Max 25 steps

Frequently asked questions

Does tilt. step into my conversations in real time?
Yes —that's Layer 1. When your detection flags a critical signal, the SDK calls tilt.mitigate() and tilt. returns the safest action (a recovery message or handoff) in under 300ms. It's fail-open: on any error or timeout it returns 'noop', so it never blocks or breaks your agent.
What's the difference between shadow and active mode?
In shadow, tilt. computes the mitigation and logs it, but does NOT apply it —ideal for validating with real data before touching production. In active, it applies live (max 3 per conversation to avoid over-correction). There's a global kill switch per project.
Is it safe to let the system self-modify?
tilt. operates on the agent's configuration (prompts, tool descriptions, retrieval), never on your code. High-risk patches are never auto-applied: they're only proposed. Everything is recorded in an audit log, and patches go through synthetic evals and canary before any rollout.
How does tilt. integrate with my existing agent?
Install the SDK (Node or Python) and start logging conversations —no changes to your logic required. You can also import existing conversations from JSON files.
What kind of agents can I use with tilt.?
Any multi-turn conversational agent: WhatsApp bots, web chatbots, support assistants and more. If your agent talks, tilt. can observe it, evaluate it, and help it recover.
How much does it cost?
You can start free with a workspace that includes the core features. For larger teams or high volume we offer scalable plans —reach out for details.

Let your agents heal themselves.

Create your free workspace and start monitoring, evaluating and repairing your conversational agents today —starting in shadow mode, risk-free.

Create free workspace