Powerful Control for Smarter, More Reliable AI Flows

Introducing Node and Model Logics

Whether you're optimizing performance, handling failures gracefully, or experimenting with different model setups,  Model Logic makes your flows smarter, faster, and more resilient.

Node Logic : Smart Agentic Flows

We’re also rolling out Node Logic, giving you deeper control over how any node behaves inside your flows. This upgrade makes your flows more dynamic, responsive, and flexible, perfect for building smarter automation with less effort.

With Node Logic, you can control how a node executes, handles errors, and routes execution based on conditions. Here’s what you can now do:

• Fallback: Switch to a backup node if the primary one fails or times out

• Retry: Automatically retry execution with custom attempts and delays

• Go Back: Route execution back to earlier nodes based on conditions

• Parallel: Run multiple node configurations at the same time

• A/B Test: Split execution between two node setups with configurable percentages

Checkout the docs

Model Logic : Smarter Model Routing

We’re excited to introduce Model Logic, a powerful upgrade that gives you more control over how your model nodes behave in Lamatic Studio. From A/B testing and fallbacks to parallel execution, Model Logic makes your workflows smarter, faster, and more reliable.

Whether you’re improving performance, handling errors, or testing different model setups, Model Logic helps you build stronger and more flexible AI flows.

Here’s what you can now do with Model Logic:

• Fallback — Switch to a backup model if the primary one fails or times out

• Retry — Automatically retry model execution with custom attempts and delays

• Parallel — Run multiple model configurations at the same time

• A/B Test — Split traffic between two model setups with your chosen percentages

Checkout the docs to learn more

How to Use

You can now add logic directly within any Model Node:

1. Select a model node

2. Open Node Config → MODEL → Logic

3. Click + Add Logic

4. Choose from:

   • Fallback

   • Retry

   • Parallel

   • A/B Testing

5. Configure and save

Logic Types

1. Fallback Logic: Automatic Backup When Things Go Wrong

Ensure uninterrupted execution by automatically switching to a backup model when the primary model times out or fails. Perfect for high-availability workflows and mission-critical automations.

Use when:
✔ Primary models may sometimes delay or fail
✔ You need a reliable fallback strategy

Checkout the docs

2. Retry Logic: Automatic Recovery from Temporary Failures

Handle transient issues like rate limits or intermittent network errors by retrying model execution with configurable attempts and delays.

Use when:
✔ APIs occasionally timeout
✔ You want automatic recovery without manual intervention

Checkout the docs

3. Parallel Execution: Run Models Side by Side

Execute multiple model configurations at the same time. Compare outputs, fuse insights, or improve speed by running tasks concurrently.

Use when:
✔ Comparing multiple models
✔ Combining outputs from different model types
✔ Reducing total execution time

Checkout the docs

4. A/B Testing: Experiment with Model Variants

Split traffic between two model configurations using customizable percentages. Test prompts, models, or fine-tuned versions before rolling them out fully.

Use when:
✔ Testing new model setups
✔ Release in steps
✔ Performance comparison and benchmarking

Checkout the docs

Pro Tips

• Use Fallback with a lightweight backup model for maximum reliability

• Set safe retry delays to avoid hitting rate limits

• Add safeguards for Go Back loops to prevent infinite cycles

• Run A/B tests long enough to produce meaningful insights

• Use Parallel only when you genuinely need both outputs

Feedback API

We’re excited to introduce the Feedback API, a simple yet powerful way to collect user feedback directly from your flows, especially when using GraphQL APIs. This helps you understand user satisfaction, track response quality, and continuously improve your AI workflows.

With the Feedback API, you can now:

• Collect ratings, comments, and custom metadata for any flow execution

• Automatically send feedback using the requestId returned from your GraphQL API call

• View all submitted feedback inside the Reports section

• Use insights to optimize prompts, tune models, and improve overall user experience

Checkout the docs

🎉 Join Us for the Celebration

Lamatic.ai 3.0 | Product Hunt

We are launching our new release on Product Hunt! Your upvotes and comments mean the world to us.

Join us: https://lamatic.ai/launch-week