Scoped observation
Use only permitted states needed for the diagnostic.
Supervised AI commerce operations for multi-merchant teams
Rootspan investigates the catalog, feed, storefront, app, and channel states behind recurring commerce incidents. It assembles the evidence, proposes a safe correction, and defines verification under human approval.
Permitted state
Evidence timeline
Proposed correction
Structured offer priceIllustrative investigation using synthetic data. The commerce catalog reports $99 at 09:02, the promotion app reports $79 at 09:04, structured data reports $99 at 09:07, and the feed override reports $79 at 09:09. The selected hypothesis is a stale storefront offer. The proposed correction changes the destination-visible structured offer from $99 to $79 for 14 synthetic variants, remains subject to human approval, retains a rollback, and is verified by re-observing the storefront and destination.
The operational gap
A destination can name the symptom. It rarely tells your specialist which upstream state, transformation, or override actually produced it.
“Landing page price does not match submitted price.”
Destination symptomBase offer remains at $99
Campaign intent changes to $79
Rendered offer remains at $99
Channel submits $79
Crawler observes a disagreement
The investigation loop
The design-partner workflow keeps evidence and authority visible from first observation through recovery.
Read scoped states from the systems already involved—without taking control away from them.
Preserve each source, timestamp, authority label, and disagreement instead of flattening them.
Connect the destination symptom to the transformations and overrides that could have produced it.
Present the smallest exact diff, evidence basis, blast radius, and rollback for human review.
Re-observe the affected states, record the receipt, and retain the case for recurrence analysis.
One concrete incident
The point is not noticing a mismatch. The point is reconstructing the competing values, authority, stale layer, narrow correction, and verification plan.
Permitted state
Evidence timeline
Proposed correction
Structured offer priceIllustrative investigation using synthetic data. The commerce catalog reports $99 at 09:02, the promotion app reports $79 at 09:04, structured data reports $99 at 09:07, and the feed override reports $79 at 09:09. The selected hypothesis is a stale storefront offer. The proposed correction changes the destination-visible structured offer from $99 to $79 for 14 synthetic variants, remains subject to human approval, retains a rollback, and is verified by re-observing the storefront and destination.
The promotion intent and feed agree at $79, while the storefront's structured data remains at the $99 base price.
Campaign intent is treated as authoritative for this synthetic case only; an operator must confirm authority in a real diagnostic.
Re-observe the rendered offer and destination response after propagation; close only when both report $79.
Portfolio leverage
Repeated specialist work compounds across merchants: pull the same screenshots, compare the same sources, re-establish the same timeline. Rootspan’s direction is to make that reconstruction reusable while preserving the systems, feed tools, workflows, and client permissions you already operate.
Explore the case recordControlled access
Permission boundaries are part of the operating model—not a footer promise added after the workflow is designed.
Review security & permissionsUse only permitted states needed for the diagnostic.
Retain the source, observation time, and authority basis.
Show the exact field change and affected entities before action.
No external write occurs without the accountable operator.
Re-observe the destination and preserve what happened.
Credentials, payment data, and customer PII are not required.

Dennis Koshta is the founder and software engineer building Rootspan. The focus is the operational work that begins after a tool raises an alert: reconstructing what each system believed, why the states diverged, and what a safe recovery would require.
Why RootspanQuestions worth asking
No. Feed checks are useful, but the operating thesis starts where a validator stops: reconstructing which upstream system, override, or destination state produced the incident.
No. The design-partner workflow is read-only by default. A correction is proposed as an inspectable diff, and external action requires explicit human approval.
Only a description of the recurring workflow. Do not send exports, credentials, customer information, payment data, or sensitive incident details through the website.
The product direction is to work above the systems your team already operates, preserving tool ownership, client authority, and specialist judgment.
Private design-partner program
Bring the workflow, not the data. In 20 minutes, we’ll map where the evidence lives, why the reconstruction repeats, and whether a scoped diagnostic is worth testing.
Book a 20-minute call