Musal / For founders
Put your product expertise into the next AI version.
You know what a useful answer looks like. Musal gives you and your team a shared place to improve the prompts and product knowledge behind it, with examples to test the changes.
A 30-minute walkthrough, grounded in your team's work.
The Musal workflow for founders
01 / Investigate
Start with what went wrong.
Bring the output and the feedback together. Identify what needs to change and what a good answer should do.
Investigate the feedback
“It acknowledged the issue. What do I do next?”
The response explains the problem but leaves the next step open.
Gives the customer a concrete next step
02 / Prove
See whether the fix helped.
Test a proposed change on relevant examples. Inspect the targeted result and check for regressions before you move on.
Review the measured change
Previous instruction: Acknowledge the issue and offer assistance.
Proposed instruction: Acknowledge the issue, then give a concrete next step using the available support policy.
Measured on the selected examples. Review the results before saving.
03 / Promote
Make the next version a decision.
Review the evidence, save the change as a version, and choose where to use it. The working draft is not live.
Save a better version
The targeted check improved. Other checked behaviors held.
Where the work gets stuck
The nuance lives in your head.
Your AI feature misses distinctions you make every day. Explaining them once in a chat does not give the team a reusable source.
A rough output becomes a handoff.
You can describe what failed. Connecting that feedback to the prompt and context takes another round of back-and-forth.
The next version needs a reason.
A rewrite can sound better without doing a better job. A more expensive model needs the same scrutiny, especially as more customers use the feature.
A shared improvement workflow
Make the product knowledge easier to work on.
Give the expertise a shared home.
Keep product knowledge and instructions in versioned documents and prompts that your team can review together.
Work from an actual issue.
Use Improve to investigate weak outputs, test a proposed change, and inspect the result before saving a version.
Choose quality you can build on.
Compare supported models on the same task, with recorded cost and latency beside the outputs. See what earns its place in the product as you plan for growth.
23%
Share of revenue that inference costs consume at scaling AI B2B companies
~52%
Average AI-native gross margin, against 70–90% for classic SaaS
100x
Cost variance between models for the same workload
60–80%
Typical savings from routing simpler work to cheaper models
A 30-minute Musal demo
Show us the job your AI needs to do.
See how your domain knowledge can become clearer instructions, useful tests, and a reviewable improvement. A fictional example is enough to get started.
Book a Musal demo