Immersive Explainer App

Operate the investigation like an AI systems console

Follow a Salesforce Opportunity stage-change case the way a recursive language model should: inspect one artifact, open the promising branch, store the finding, and synthesize only after the ledger is real.

Visible traces Working memory ledger User-directed branches

Case

Unexpected Opportunity stage change

Investigate the environment selectively, recurse into the most promising branch, and synthesize a diagnosis from stored findings.

Recommended: Flow

Artifacts

Trace workspace

Inspect one artifact without losing the full trace

guided console
Investigation trace

Active branch

root model

Flow updates Opportunity stage after approval status changes

A record-triggered Flow listens for approval updates and writes to Opportunity stage under specific partner conditions.

Full trace

Trace the approval-status branch and the partner conditions that decide whether the Flow writes a new stage value.

Why this artifact

Inspect the Flow first because it bridges the business event and the stage mutation the user can see.

Suggested next step

Accept this branch into working memory because it establishes the first causal path.

Suggested next step

Current state

The root model is inspecting a single artifact and deciding whether the finding deserves durable memory.

Returned finding

The Flow is one mutation path and confirms that approval completion can trigger a stage update for partner deals.

Decision log

No decision recorded yet. Review the trace, then store the finding or dismiss it.

Working memory

Durable notes

0 findings
+
No findings stored yet. Stored evidence will collect here as a quieter ledger.

Diagnosis

Unlock after evidence

+

The root model should wait until at least three findings have been stored before trusting the final diagnosis.