Set Up for a Clean Run
Optimization requires a fully successful test run — all steps green. These tips will maximize your chances of getting one on the first try.
After a successful test run, Kindgi can optimize your workflow — locking in exactly how each step worked. Future runs are faster, more cost-efficient, and much more consistent. This guide walks you through everything: optimizing, managing runs, switching between optimizations, and disabling when needed.
Steps
Optimization requires a fully successful test run — all steps green. These tips will maximize your chances of getting one on the first try.
Hit Test Run and watch the steps execute. If all steps complete successfully, the amber Optimize Workflow banner appears at the bottom of the results. Review each step's output, then click Optimize Workflow on the banner.
Before clicking Optimize, review the results. Open each step and check the output — make sure it's what you expect. Optimization locks in the behavior from this exact run, so the data and responses should look right.
Once you've optimized, a Zap button appears in the Build tab toolbar showing how many steps are optimized (e.g., "3 steps optimized"). Click it to open the dropdown — this is your control center for managing optimization.
The dropdown lists your most recent completed test runs. Each run shows:
Kindgi optimizes two types of steps from your workflow. Steps that require creative thinking continue to use AI.
Steps that require genuine creative thinking — like writing a reply in your voice or deciding which emails are important — continue to use AI. Those are the steps where flexibility matters.
Downstream steps (send email, create card) optimize best because they receive all their data from previous steps. Source steps (fetch emails, list issues) also optimize well when run with real data.
The optimize dropdown gives you full control over which run powers your workflow. Click any run in the list to take action.
You can also trigger optimization from the Test tab — when viewing a completed run that isn't the current source, you'll see either "Optimize from this run instead?" or "This run has an existing optimization" with options to switch or rebuild.
If a step fails during a test run, you don't need to start over.
Click Re-run on the failed step. The AI makes fresh decisions each time, and the next attempt often succeeds. You can also check the step's error details to understand what went wrong.
A failed step doesn't affect optimization — you only need all steps green for the initial optimization. After that, if an optimized step encounters an issue during a run, Kindgi automatically falls back to AI execution for that step.
If an optimized workflow isn't producing the results you expect, you can disable optimization entirely.
Open the optimize dropdown in the Build tab and click Disable optimization at the bottom (shown in red). Your workflow will go back to using AI for all steps.
Disabling optimization doesn't delete anything else — your workflow, connections, and history are all preserved. You're just telling the system to figure things out fresh on the next run.
Optimized workflows run automatically — no action needed from you. The system handles edge cases gracefully.
Your Optimizing Workflows guide is complete.
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