Meeting transcript
Summarizes what people said, but misses important interface state and demonstrated behavior.
A web app for vertical AI implementation teams
Workflow Corp converts a short recording and its supporting files into one structured draft for your configured agent runtime. Your implementation team tests it, sends back concrete failures, and keeps the version that passes.
Build customer agents without reconstructing every workflow from recordings, transcripts, and manually written prompts.
The bottleneck
A domain expert can demonstrate the work in minutes. The implementation specialist still has to replay the recording, recover the order, decisions, file rules, checks, and final state, then translate all of that into the target runtime. That manual translation slows agent delivery and creates rework.
Who it’s for
Workflow Corp is for implementation and solutions teams at vertical AI companies. Your customers know the work. Your builders know the runtime. Workflow Corp turns the handoff between them into a repeatable production loop.
How it works
A tight loop from expert evidence to runtime acceptance.
Have the expert perform one real task as they normally would. Attach the template, source file, prior example, or other artifact the task uses.
Workflow Corp identifies the trigger, inputs, ordered actions, decisions, checks, fallbacks, stopping conditions, final state, and prohibited actions. It returns one draft for the configured runtime, not a list of possible agents.
Run the exact draft in your agent runtime. Mark it accepted or explain what happened and what should have happened. Workflow Corp attaches that result to the version that failed and creates the next draft.
Why Workflow Corp
A transcript cannot reliably show which menu was opened, which record state changed, where a file was attached, which fields were compared, or what the agent must not do. Workflow Corp combines spoken instructions, screen evidence, and supporting files, then checks the final draft against a structured workflow contract.
Summarizes what people said, but misses important interface state and demonstrated behavior.
Produces a fast first draft, but leaves the agent builder to reconstruct the workflow from memory.
Replays one demonstrated path, but does not express decisions, fallbacks, verification, or safe stopping behavior.
Produces target-specific operating instructions with ordered actions, decisions, checks, fallbacks, final-state requirements, and stop rules.
Configured target / explicit adapter
Workflow Corp is not another agent runtime and does not execute customer work. It produces the deployment artifact for the runtime your team already uses. Target adapters are added deliberately rather than pretending one generic prompt format works everywhere.
Verification
Workflow Corp keeps those states separate. Generated means the draft is ready to test. Accepted means your team ran that exact version in its target runtime and approved the result. If it fails, the correction is attached to the version that failed and used to produce the next draft.
The goal is more accepted agents per builder-day, not more generated prompts.
Ready to test in configured target
Exact version approved after runtime test
The company-level outcome
Remove the repeated specification work between an expert demonstration and a runner test. Measure first-pass acceptance, correction time, and accepted output—not how many plausible prompts were generated.
Start with the work, not a blank prompt
Record the job the way you would teach a new implementation hire. Get one target-ready draft, test it in the runtime your team already trusts, and keep the version that passes.
FAQ
Workflow Corp is a web app that turns a short expert screen recording and its supporting files into one structured, versioned agent draft for a configured target runtime.
Implementation specialists, solutions engineers, and agent builders at vertical AI companies that repeatedly turn customer-specific workflows into agents.
No. The target runtime runs the agent. Workflow Corp owns the teaching, workflow reconstruction, target-specific draft, versioning, and acceptance loop.
One complete, focused workflow. Show the normal path, important decisions, files used, verification steps, required final state, and anything the future agent must not do.
A transcript omits much of the interface state and demonstrated behavior. Workflow Corp uses the screen recording, narration, and supporting files together, then checks the generated draft against a structured workflow contract.
No. Workflow Corp uses explicit target adapters. New runtimes are supported deliberately so the output matches their actual capabilities and deployment format.