Operating record
See Walseth AI's published operating record
This page shows a dated operating snapshot from Walseth AI. Use it to judge whether the team is disciplined enough to earn a closer look at your repository, not as a promise about your results.
How to read this page
What is shown here, what it can suggest, and what to do next
Keep three things separate: these metrics describe Walseth AI's own recent operating history, they can only suggest whether a closer review of your repository is worth doing, and they do not replace a current repository-specific scan of your codebase.
Shown Here
The metrics on this page describe Walseth AI's own recent operating history for the published window.
Suggested, Not Promised
Those metrics can suggest disciplined execution. They do not prove customer fit, results on your codebase, or guaranteed delivery outcomes.
Next Step for Your Repo
Use the free scan or another current repository-specific review before you treat this page as evidence about your codebase or request paid delivery.
Sample size
This snapshot covers a 12-document rolling sample, not a single hand-picked success.
Completed without manual help
Most measured work in the current window finished without manual intervention.
Completed cleanly
Every measured item in the current window finished cleanly.
Commits per hour
Measured product commits per hour in the current window.
Finished without supervision
A meaningful share of completed work finished without active supervision.
Average completion time
Average time from starting a work item to closing it in the current window.
What this shows
- Walseth AI has published operating numbers instead of only polished claims.
- The snapshot shows whether measured work was finishing without constant manual intervention.
- The useful next step is still a repo-specific scan, not assuming these numbers apply to you.
This snapshot describes Walseth AI's own operating history as of March 31, 2026. It is evidence about Walseth AI, not a substitute for a current scan of your repository.
What this can suggest, not guarantee
These numbers can justify a closer look. They do not prove customer fit, results on your codebase, or the right delivery plan for your team.
What this still does not guarantee
- This page shows recent operating evidence, not a guarantee that every future run will look the same.
- It does not claim ROI, legal compliance, or production risk removal for your team before a repo-specific review.
- It does not replace the free scan. Use that first when you want current evidence on your own repository.
What to do next
If you want evidence about your repository, start with the free scan. Request baseline review only after repo-specific evidence shows a real gap worth fixing. Ask about monitoring only after baseline work already exists.
Best first step: Run Free Repo Scan starts at /scan.
Run Free Repo Scan
Best first stepUse the free scan when you want current evidence on your own public repository.
Request Baseline Sprint
Later, if the evidence supports itRequest the baseline sprint after a repo-specific signal shows a real gap and you want a fixed starting engagement with a concrete plan.
Ask About Monitoring
Later, if the evidence supports itMonitoring is follow-through for teams that already have baseline work in place. It is not the first paid step from this page.