RECORD THE WORK
Capture one focused customer workflow.
Record the real task and include the templates, examples, or files that determine the correct result.
For vertical AI implementation teams
Turn customer screen recordings into agent drafts your team can test.
Workflow Corp is a web app that turns one focused recording of the real work and its supporting files into a structured, source-linked draft for a supported internal agent builder—without reconstructing every step by hand.
BEFORE YOU UPLOAD Supported target required · human review and runtime testing required
ILLUSTRATIVE PRODUCT FLOW — NOT A CUSTOMER RESULT
Export an account list
DRAFT / 01
CUSTOMER RECORDING / SOURCE EVIDENCE
00:08
Open ledger.example.test/workspaces
Select workspace Northwind Demo
Export allocation-accounts.csv
Do not invent an allocation value.
9 source moments · exact labels and values retained
RECOVERED PROCEDURE / SOURCE-LINKED
REVIEWED
WORKFLOW GOAL
Export account list
- Trigger
- Operator opens the ledger workspace
- Inputs
- “Northwind Demo” + allowed values
- Actions
- Open ledger → select workspace → export
- Check
- Exported account list is downloaded
- Finish
- account list exists
RESTRICTION
Do not invent an allocation value.
REVIEW / CONFIGURE / TEST
READY
- Source links
- ATTACHED
- Open questions
- VISIBLE
- Target format
- SELECTED
- Review state
- PENDING
SPECIALIST DELIVERABLE
agent-draft.md
READY FOR REVIEW
Illustrative example. A specialist reviews and tests the exact version before acceptance.
The delivery bottleneck
Your customers show the workflow. Your team rebuilds it by hand.
Customers can demonstrate their work faster than they can document it. Implementation specialists still have to translate that demonstration into instructions the agent builder can use. Workflow Corp is for teams that already own that builder and repeat this handoff across customer implementations.
- 01 Rewatch the recording
- Pause, scrub, and replay the same moments to recover the sequence, labels, exact values, and edge cases.
- 02 Rewrite it as instructions
- Convert demonstrated actions into a prompt or skill file while preserving the intent behind each step.
- 03 Chase what is missing
- Ask follow-up questions when the recording omits a required input, check, restriction, or finish condition.
- 04 Debug plausible mistakes
- Clean-sounding instructions can still invent a value, drop a prohibition, or stop before the work is actually done.
Three steps to a first test
Move from demonstration to a version your team can test.
The customer demonstrates the real task. Workflow Corp recovers the repeatable procedure. Your implementation team reviews the evidence and tests the configured version.
RECOVER THE PROCEDURE
Extract what the agent actually needs.
Workflow Corp identifies the demonstrated actions, inputs, exact values, checks, outcomes, and restrictions.
TEST THE TARGET VERSION
Give the specialist a grounded starting point.
Review every source link, resolve flagged gaps, and test that exact configured version in the internal builder.
The specialist stays in control.
Workflow Corp accelerates the translation step; your team still reviews, tests, and accepts the exact version.
What you get
Built to transfer a workflow—not summarize a video.
Loom records what happened. Transcription tools summarize what was said. Generic AI writes plausible instructions. Workflow Corp reconstructs the repeatable procedure your agent builder needs.
-
01
A source-linked starting handoff
Recovered actions, inputs, checks, and restrictions point back to the recording moment or supporting file.
-
02
Visible gaps instead of quiet guesses
When required checks fail, Workflow Corp withholds the output and explains what needs attention.
-
03
Exact demonstrated details
Labels, filenames, values, and “must not” behavior stay explicit instead of being smoothed into generic prose.
-
04
One version to review and test
Your team receives one configured artifact with a stable version, source trail, and clear acceptance boundary.
Important limit: These checks can catch defined gaps and inconsistencies. They cannot prove that one recording is complete or guarantee that the configured version will run correctly.
The acceptance boundary
Generated does not mean accepted.
DRAFT PREPARED
Source-linked version ready
A structured handoff for specialist review
EXACT VERSION TESTED
Run in the supported builder
The test result stays tied to the version that ran
ACCEPTED OR CORRECTED
Specialist records the outcome
A changed version must be reviewed and tested again
Prove it on one workflow
Benchmark the handoff against your current build process.
Do not take a throughput claim on faith. Run one representative workflow through both paths and measure whether the specialist reaches a clean first test with less reconstruction work.
Pilot input: one focused workflow
PILOT SCORECARD
Baseline vs. assisted
Time to first testable draft
Start the clock at recording handoff; stop it when the specialist can run the first configured version.
Corrections before acceptance
Count the material edits required after the first test—not formatting or style preferences.
Accepted agents per builder-day
Measure delivery capacity only after the same quality and acceptance bar is applied to both paths.
Start with one representative workflow
Give your team a grounded draft—not another blank prompt.
Upload one focused recording and any relevant files. Workflow Corp produces a source-linked draft—or withholds it and tells your specialist what needs attention.
Test one workflow Human review and runtime testing are required. Only upload workflows and files you are authorized to share.Questions buyers ask
What your team needs to know.
What is Workflow Corp, literally?
A web app for vertical AI implementation teams. Upload a short recording of one customer workflow and receive a structured, source-linked handoff your team can review and test.
Who is it for?
Implementation specialists, agent builders, and solutions teams responsible for turning customer demonstrations into working, repeatable agents.
What should I upload?
One focused screen recording that shows the task from start to finish, plus any template, example, reference file, or written guidance that determines the correct result.
Is this just transcription or a generic AI prompt?
No. The deliverable is a target-specific instruction file produced from a structured, checked workflow. The source trail shows where each extracted action, value, check, and restriction came from.
What happens when the recording is ambiguous?
When required checks fail, Workflow Corp withholds publication and explains what needs attention. Your team can add the missing evidence or guidance and create a new version. The product cannot guarantee that every omission in the original demonstration will be detected.
How does it connect to our internal agent builder?
Integrations are explicit and target-specific because internal builders expect different capabilities and formats. Talk to us about the builder your implementation team uses; we do not claim one generic prompt works everywhere.
Does Workflow Corp run the agent?
No. Workflow Corp prepares the instruction file. Your existing internal builder executes it, and your implementation team decides whether the exact version passes.