Fix, verify & remember · Learning engine
Every recovery makes the next one start further ahead.
Every issue becomes a Fix History record — approved, deployed, or rolled back — that builds a per-workspace pattern of what actually worked, by fix type, page type, and prompt class. The next similar finding starts already prioritized by that history.
Correlation is never shown as proof of causation — patterns carry a confidence label, not a guarantee.
A new verified schema fix moved this pattern from 82% to 91% — the next schema finding starts ranked higher.
Most tools treat every finding like it's the first one.
A workspace that has deployed and verified 40 fixes knows more than a brand-new one — but most tools don't use that history for anything. The same fix type gets the same generic priority every time, whether it's worked here before or not.
No memory between findings
A schema fix that worked well last month doesn’t make the next schema finding rank any higher.
Generic priority for every workspace
A one-size-fits-all priority order ignores what’s actually worked on this specific site.
Correlation mistaken for proof
A pattern across a handful of fixes can look convincing without being strong enough evidence to act on with confidence.
No path from forecast to result
A predicted risk that turns out right — or wrong — should change what gets watched next, but rarely does.
How this feature works
From a verified outcome to a sharper next recommendation.
Start from Fix History
Every approved, deployed, or rolled-back fix — with its verified outcome — becomes part of this workspace’s fix memory. Nothing from another site factors in unless it later clears its own comparison gate.
Every recorded fix counts — approved, deployed, or rolled back — not just the successes.
40 fixes recorded
Group by what actually matters
Outcomes are grouped by fix type, page type, CMS, and prompt class — not averaged into one meaningless number. A schema fix and a metadata rewrite earn separate track records, since they behave differently.
Grouped by fix type, page type, CMS, and prompt class — never blended into one average.
Grouped by pattern
Separate correlation from confirmed effect
A pattern is only shown with confidence once there’s enough evidence behind it — never presented as causal proof. Twelve verified fixes is a real track record, not a coincidence being oversold.
Confidence is sized to actual evidence, never presented as causal proof.
Confidence labeled
- 12 verified schema fixes on this workspace back this pattern.
Reprioritize the next similar finding
A new schema finding on this workspace starts ranked using this pattern, instead of a generic default priority. The next schema finding starts already informed, not from a generic default.
Priority is reordered by history — the fix’s confidence score and risk label never change because of it.
Priority updated
Feed the next forecast
Confirmed or false-positive predictions retrain which leading indicators matter most for this site, closing the loop from forecast to result. The loop closes from forecast to result, instead of ending once a fix ships.
Confirmed and false-positive predictions retrain which leading indicators matter most for this site.
Forecast updated
- Recommendations improve as more fixes get verified over time.
Explore it yourself
Explore what this workspace has learned.
Key capabilities
Everything a learning fix history needs.
Memory
- Per-workspace fix memory by fix type, page type, and prompt class
- Grouped outcomes, not one blended average
- Recovery Progress rollup carried forward
Confidence
- Confidence labels sized to actual evidence
- Correlation shown separately from confirmed effect
- A cohort comparison shown only once enough similar workspaces clear a minimum sample size
Application
- Future Fix Pack priority shaped by past outcomes
- Predictive risk indicators retrained from confirmed results
- Priority reordered — confidence score and risk label never changed by it
Business outcomes
What changes once fix history actually informs priority.
This workspace’s own pattern
Priority reflects what’s actually worked here, not a generic default.
Confidence sized to evidence
A pattern backed by 12 verified fixes is labeled differently than one backed by two.
Recovery gets faster
The next similar finding starts already ranked by real outcomes, not from zero.
Forecasts improve over time
Confirmed and false-positive predictions sharpen what gets watched next.
Why Surgbly does it better
A pattern that updates instead of a static priority list.
Traditional
- 1Every finding gets the same generic priority.
- 2A verified outcome doesn’t change anything going forward.
- 3No distinction between a strong pattern and a weak one.
- 4The next similar finding starts from zero.
Surgbly
- 1Verified outcomes grouped by fix type, page, and prompt class.
- 2Confidence sized to how much evidence actually backs it.
- 3Priority for the next similar finding reflects real history.
- 4Forecasts retrain from confirmed and false-positive results.
Use cases
Built for the workspace that's been running Surgbly a while.
Integrations
Learns from outcomes across every connector Surgbly deploys through.
- WordPress
- Webflow
- Shopify
- GitHub
- Snippet
- Slack
- Microsoft Teams
Questions
Answers before you have to ask.
Does a pattern from one workspace affect another?
Per-workspace fix memory always applies first. A cross-workspace comparison for similar sites only appears once enough workspaces have opted in and cleared a minimum sample size.
Can priority override a fix’s risk label?
No — history can reorder which finding gets attention first. It never changes a fix’s confidence score or risk label.
What happens with too little history to learn from?
Findings use standard priority until there’s enough verified evidence to adjust it — no pattern is shown without enough data behind it.
How does this connect to predictive risk?
Confirmed and false-positive predictions retrain which leading indicators matter most for this site, closing the loop from forecast to result.
See what your workspace has already learned.
Connect your site and see how past fix outcomes shape what comes first.