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Give AI agents your team's expertise

FusedFrames watches and learns how your team works. When it doesn't understand a decision it asks why. Then it turns everything it learns into a guide for your AI agents.

Problem

Why your agents fall short

Reasoning
Aren't given the reasoning behind your decisions
Edge cases
Don't know the edge cases your team never documents
Sequence
Can't see how each action relates to the next
Solution

How FusedFrames closes the gap

Captures the reasoning behind every action.
Cause and effect
What initiates this pattern and what it produces.
A ticket arrives in Zendesk describing broken or unexpected behaviour in the product. The ticket comes from a paying customer, is unresolved, and has not yet been triaged or assigned to anyone on the support or engineering team.
The customer gets the right next step. That might be a workaround sent in the ticket, a config fix walked through together, or a logged bug owned by engineering. Either way, they hear back within SLA.
What and why
The observed behaviour and the reasoning behind it.
When a customer reports broken or unexpected behaviour, the support team checks the affected component for known incidents, searches the customer's account for matching errors, and then either sends a workaround, walks the customer through a config fix, or files a bug in Linear and tags the on-call engineer.
Most reported bugs are config issues or known issues with workarounds, so the support team handles them directly to keep engineering focused on real defects. Enterprise customers get a Linear ticket regardless of how the case is resolved, so engineering always has visibility on issues affecting them.
Tracks every workflow step by step.
Standard operating procedure
Step-by-step instructions to reproduce this pattern.
1

Zendesk

Open the ticket and read the customer's bug report.
Clear understanding of the symptoms and affected feature.
2

Statuspage

Check whether the affected component has a known incident.
Confirmed whether this is a known issue with a workaround.
3

Sentry

Search the customer's account for matching errors in the last 24 hours.
Match by user ID and error signature, not just error type.
Confirmed whether the issue reproduces in their account.
4

Linear

Respond with a workaround, walk through a config fix, or file a bug and tag the on-call engineer.
Enterprise customers get a Linear ticket regardless of resolution path.
Customer has the right next step and engineering is looped in where needed.
5

Slack

Post the resolution path in #cs-engineering for team visibility.
Team can flag recurring patterns across cases.
Records how every action connects.
Lets AI agents explore the know-how.
GET /patterns/:id
{
  "id": "pat_01HQ7K3MXJ9D4VYZB8N2RTGSCW",
  "title": "Triage incoming bug report from customer",
  "behaviour": "When a customer reports broken or unexpected behaviour, the support team checks the affected component for known incidents, searches the customer's account for matching errors, and then either sends a workaround, walks the customer through a config fix, or files a bug in Linear and tags the on-call engineer.",
  "reasoning": "Most reported bugs are config issues or known issues with workarounds, so the support team handles them directly to keep engineering focused on real defects. Enterprise customers get a Linear ticket regardless of how the case is resolved, so engineering always has visibility on issues affecting them.",
  "trigger": "A ticket arrives in Zendesk describing broken or unexpected behaviour in the product.",
  "outcome": "The customer gets the right next step — a workaround, a config fix, or a logged bug owned by engineering — and engineering has visibility on every issue affecting an enterprise account.",
  "category": "Customer Support",
  "tags": [
    "bug-triage",
    "escalation"
  ],
  "applications": [
    "Zendesk",
    "Statuspage",
    "Sentry",
    "Linear",
    "Slack"
  ],
  "actionCount": 47,
  "connectionCount": 4,
  "firstSeen": "2026-01-15T09:00:00Z",
  "lastSeen": "2026-03-30T14:00:00Z",
  "createdAt": "2026-01-18T10:00:00Z",
  "updatedAt": "2026-03-30T14:00:00Z",
  "sopSteps": [
    {
      "id": "sop_01HQ7K4P2A6F9XBNTYRCV3JDWS",
      "stepNumber": 1,
      "application": "Zendesk",
      "instruction": "Open the ticket and read the customer's bug report.",
      "detail": null,
      "expectedResult": "Clear understanding of the symptoms and affected feature."
    },
    {
      "id": "sop_01HQ7K4Q8M2B5GHZNTKDV6XRPC",
      "stepNumber": 2,
      "application": "Statuspage",
      "instruction": "Check whether the affected component has a known incident.",
      "detail": null,
      "expectedResult": "Confirmed whether this is a known issue with a workaround."
    },
    {
      "id": "sop_01HQ7K4RD7N3CWPYBVXSTM9JZG",
      "stepNumber": 3,
      "application": "Sentry",
      "instruction": "Search the customer's account for matching errors in the last 24 hours.",
      "detail": "Match by user ID and error signature, not just error type.",
      "expectedResult": "Confirmed whether the issue reproduces in their account."
    }
  ],
  "library": {
    "id": "lib_01HQ6P9YBN4ZTF2VKMRWJD8XCS",
    "name": "Customer Support"
  },
  "edges": {
    "outgoing": [
      {
        "id": "edge_01HQ7K5T6W8YJBZNRVCMDX2GFP",
        "targetPatternId": "pat_01HQ7K3N4D5GVZBYWMTRPCJSXQ",
        "targetPatternTitle": "Respond with workaround in ticket",
        "label": "often next",
        "actionCount": 29
      }
    ],
    "incoming": []
  }
}
1
Records work as it happens
Runs silently in the background on every desktop. No tagging or documenting required.
2
Asks why, when it matters
Spots decisions that can't be inferred from the action alone and asks your team in the moment.
3
Hands it to your AI agents
Distills captured workflows and reasoning into a knowledge base your agents query via API/CLI.
Privacy

Only logs what's necessary

You can choose to start and stop capture at any time. Sensitive content is removed on your Mac before it leaves the device.

Captured
ClicksKeystrokesCopy and pasteDrag and dropSelected textApp and window namesScreen regions
Excluded
PasswordsCredit card numbersAPI keys and secretsMicrophone audioWebcam videoActivity while paused
Comparison

Take your agents from novice to expert

Input

“My £85 noise-cancelling headphones arrived and the left earcup crackles. Please refund me.”

Reasoning

Customer reports a defective product. Before issuing a refund I'll verify the order is genuine, recently delivered and within the return window.

Tool

Returned: order #4827. Noise-cancelling headphones, £85.00. Status delivered 2 days ago. Customer Sarah Mitchell.

Reasoning

Order is genuine, within the 30-day return window and matches the customer's claim. Standard policy is a full refund for confirmed defects. I'll proceed.

Action

Replied: “Sorry the headphones arrived faulty. We've refunded £85.00 to your card. It'll land in 3 to 5 working days.”

Recorded demos

See FusedFrames in action

See how FusedFrames records every action and decision your team makes, then hands the knowledge to your AI agents over API or CLI.

A walkthrough of the macOS recording app
Desktop app
A tour of the FusedFrames dashboard
Dashboard
A quick introduction to FusedFrames
Overview
Purpose

Why FusedFrames exists

Henry Denton, founder of FusedFrames

“I ran an agency shipping AI agents. They always broke on the edge cases nobody wrote down. Someone would stop their day-to-day work for weeks to write down how everything worked, but the documentation still missed what agents needed. So I built FusedFrames.”

Henry DentonFounder, FusedFrames
Speak to the founder
Questions

Frequently asked questions

Speak to the founder
Henry Denton, founder of FusedFrames

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