Suggests improvements
Spark writes new versions of your agent's instructions.
Tries new instructions. Reviewers check them.Illustration. You approve every upgrade.
Illustration of Spark Loops testing new instructions with separate reviewers. You approve every upgrade.
Test better instructions for your AI agent. You approve every upgrade.
Mac and Windows, early access.
Free during early access.
Your agent
Spark improves your agent's instructions, not the AI model. Every change is plain text you can read.
Spark writes new versions of your agent's instructions.
AI reviewers from different companies.
Your connected models. You pay the providers directly.
How it works
You approve every upgrade.
Spark suggests new versions of your agent's instructions.
Each one works through your real examples.
AI reviewers from different companies compare them without knowing which is which. Your agent never grades itself.
A separate test checks fresh examples.
Read the results and approve a change, or keep what you had.
Pick a job
Start with one repeat task and real examples. Read the results before you approve a change.
Examples of what you could train, not customer stories.
What makes it honest
Separate AI reviewers check the work without knowing who wrote it.
A separate test checks how the new instructions handle fresh examples.
Read the results before you approve an upgrade. You can keep what you had.
Runs on your computer
A desktop app. Training runs on your computer, with your own model keys. You pay providers directly.
Mac and Windows, early access.
Platforms and installMac and Windows, early access. Free during early access.