Workflow Unblocking

Never Let Your Agent Get Stuck.

Intelligent Auto-Escalation detects when a budget model is struggling with a task and seamlessly upgrades to a reasoning powerhouse to unblock the workflow.

Enable auto-escalation View pricing

Standard Agent Loop vs. Auto-Escalation:

Always SOTA

• GPT-5/Claude 4.5 for every step
• Massive cost for simple "thoughts"
• Overkill for summarization/formatting
• Costs scale linearly with loop count

Adaptive Scaling

• Fast models for 80% of steps
• SOTA models only when stuck
• Automatic failure detection
• 10x more loops for the same budget

Run agents 10x longer for the same cost.

The Reliability Trap

Why autonomous agents fail in production

Looping Forever

Weak models often get stuck in repetitive loops, unable to break out of a logic error or syntax mistake.

Context Loss

As context windows fill up, cheaper models lose coherence. Upgrading to a larger model is often the only fix.

Silent Failures

Models confidently outputting wrong code or hallucinations, derailing the entire agent workflow downstream.

How Auto-Escalation Works

We watch your agent's back so you don't have to

1. Fast Model Default

Routine steps—like formatting data, simple replies, or basic logic—run on ultra-fast, cheap models to keep latency low.

2. Struggle Detection

If the model outputs an error, produces low-confidence code, or gets stuck in a loop, ModelPilot flags the step as "At Risk".

3. Seamless Escalation

We automatically retry the specific prompt with a reasoning model (like o1 or Claude 3.5 Sonnet) to solve the difficult problem.

4. Workflow Resumed

The correct response is returned to your agent loop, which continues running on the fast model. You only pay for intelligence when you need it.

Why Agents Need Auto-Escalation

Reliability is the bottleneck for autonomous agents

Unblock Stuck Agents

Prevent agents from spiraling into error loops by detecting failures early and fixing them with superior intelligence

Premium Success Rate

Achieve the task completion rates of SOTA models while maintaining the cost profile of efficient models

Autonomous Optimization

No manual rules or complex logic—ModelPilot learns which steps need escalation based on success/failure patterns

Predictable Costs

Scale your agent fleet without exponential cost growth. Pay premium prices only for the toughest 5% of steps

Critical Moments for Escalation

When your agent needs a "Phone a Friend" lifeline

Complex Planning

Initial project breakdown and strategy often requires SOTA reasoning, while execution steps can be handled by faster models

Code Debugging

When a coding agent hits a syntax error loop, we escalate to a stronger model to find the bug that the smaller model keeps missing

Data Synthesis

Summarizing large, conflicting datasets often leads to hallucinations in small models. Escalation ensures accuracy for final reports

Build Unstoppable Agents

Enable auto-escalation in your router configuration and watch your agent reliability soar. Setup takes just a few clicks.

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No commitments • Enable with one toggle • 100% Reliability