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
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
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
Illustrative example. A specialist reviews and tests the exact version before acceptance.
The delivery bottleneck
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.
Three steps to a first test
The customer demonstrates the real task. Workflow Corp recovers the repeatable procedure. Your implementation team reviews the evidence and tests the configured version.
RECORD THE WORK
Record the real task and include the templates, examples, or files that determine the correct result.
RECOVER THE PROCEDURE
Workflow Corp identifies the demonstrated actions, inputs, exact values, checks, outcomes, and restrictions.
TEST THE TARGET VERSION
Review every source link, resolve flagged gaps, and test that exact configured version in the internal builder.
What you get
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.
Recovered actions, inputs, checks, and restrictions point back to the recording moment or supporting file.
When required checks fail, Workflow Corp withholds the output and explains what needs attention.
Labels, filenames, values, and “must not” behavior stay explicit instead of being smoothed into generic prose.
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
Prove it on one workflow
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
Start the clock at recording handoff; stop it when the specialist can run the first configured version.
Count the material edits required after the first test—not formatting or style preferences.
Measure delivery capacity only after the same quality and acceptance bar is applied to both paths.
Start with one representative workflow
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
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.
Implementation specialists, agent builders, and solutions teams responsible for turning customer demonstrations into working, repeatable agents.
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.
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.
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.
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.
No. Workflow Corp prepares the instruction file. Your existing internal builder executes it, and your implementation team decides whether the exact version passes.