Demos.

Three walkthroughs of Proofpane doing the thing. Pour a coffee — they're not 15-second loops.

Looking for the 15-second teasers? Watch them on the homepage.

Five AI tools read a secret file — one audit, one tray, the key comes back redacted.

2.5 minutes

For CISO, security, and anyone whose team runs more than one AI tool. Cursor, Claude Code, Codex, Hermes and Claude Desktop each try to read a secret file. Every call — across every tool — lands in one hash-chained audit; a menu-bar tray fires the Approve / Deny checkpoints live; denied reads are blocked before the secret leaves; and an approved read runs through governed tools so the AWS key comes back redacted by DLP before the model ever sees it.

What it shows
  • Five different AI tools — Cursor, Claude Code, Codex, Hermes, Claude Desktop — every call in one hash-chained audit
  • A menu-bar tray fires the Approve / Deny HITL checkpoints, live — multiple apps queued at once
  • Denied reads are blocked — the secret never leaves the machine
  • An approved read runs through governed tools → the AWS access key returns [redacted] by DLP before the model sees it
  • Each tool governed by the deepest method it exposes — hook, MCP, or broker

AI off the rails? Catch it in Slack — approve the fix in Slack.

1 minute

For CISO, Ops, RevOps, anyone whose team lives in Slack. Whenever an AI agent or workflow goes off the rails — drift, hallucination, compliance breach, security flag, anything — Proofpane catches it and pushes the alert to a desktop tray notification AND a Slack message. The right approvers decide whether the AI is allowed to self-repair. And the people who notice a problem first — even without standing permission — can request access from the same Slack message, on the spot.

What it shows
  • Detects drift / hallucination / compliance breach / security flag — the full anomaly surface
  • Pushes the alert to both the desktop tray and Slack — one detection, two notification channels
  • Approver decides in-place whether the AI is allowed to self-repair
  • First-noticer without standing permission? Request access from the same Slack message, on the spot
  • One detection surface, two notification channels, one human-gated decision — evidence by construction

Salesforce, HIPAA, and an open-ended build — all audited

3 minutes

For Sales Ops / RevOps, CRO, CISO worried about CRM PII, and engineering leads evaluating "is this actually a platform?". Three capabilities back-to-back: pull a real Salesforce lead via SOQL, run a multi-skill HIPAA compliance review from natural language, and watch an open-ended "build me a brick breaker game" request iterate to a working build. Every step audited, observable, and reusable.

What it shows
  • Salesforce SOQL pull via the platform's connector — every query + result audited
  • Multi-skill HIPAA review from natural-language prompt — skills compose into the workflow without rewriting them
  • Open-ended "build me a brick breaker game" request → assistant iterates → working build, all steps hash-chained
  • Platform as CLI + assistant — operator directs work in natural language; the chain is the proof
  • Reusable — every artifact (SOQL query, compliance verdict, build steps) is a first-class object the next operator can replay
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