Independent business-effect verification
A run is judged by an out-of-band check of the system of record, such as a read-only API call, a SQL query, or re-reading the persisted record, not by the acting session declaring itself successful.
OpenAdapt vs record-and-replay tools
Recording a demonstration and replaying it is now a mainstream authoring model, from classic macro recorders to OpenAI shipping Record & Replay for repeated tasks. OpenAdapt shares the authoring model, so the real comparison is what happens after the recording, not the recording itself.
Where record-and-replay tools are strong
- The fastest possible authoring: demonstrate the task once and it becomes repeatable, with no selectors or code.
- Accessible to non-developers, so the people who actually do the work can automate it themselves.
- Replay avoids re-reasoning the task from scratch on every run, which keeps repeat runs fast and cheap.
- OpenAI's Record & Replay brings demonstration-based authoring to a mainstream audience, which validates the model for everyone building on it.
What OpenAdapt does differently
These are the differences that hold up under scrutiny. Recording demonstrations, visual targeting, virtual desktop awareness, and selector repair are broadly available across modern tools and are not claimed here as unique.
Explicit transaction outcomes
Every consequential run ends verified or halted with a preserved run report. There is no silent third state where the workflow looked finished but the record never changed.
Deterministic healthy runs
A compiled workflow replays deterministically with zero model calls on healthy runs. Model spend is reserved for compilation and reviewable repair.
External zero-install remote lane
For managed Citrix, RDP, and VDI estates, OpenAdapt can drive the local client window from outside the session, so nothing is installed inside the remote environment. The lane is qualified today against a deterministic stand-in and a real FreeRDP round trip; a real ICA/HDX environment is qualified per customer before consequential use.
Customer-controlled sensitive data
Recordings, screenshots, and compiled bundles can stay inside your boundary. Local, self-hosted, and customer-controlled deployments are first-class, not an enterprise afterthought.
Open MIT local runtime
The compiler and governed runtime are MIT-licensed and inspectable. You can audit exactly what runs beside your systems of record.
Published qualification evidence
Each execution surface ships with bounded, published acceptance evidence, counted effects, refusals, and halts, instead of an unbounded compatibility claim.
Per-surface acceptance results are published in the qualification evidence.
Which should you choose?
Choose record-and-replay tools when
Choose a lightweight record-and-replay tool for personal productivity, low-stakes repetitive tasks, and workflows where an occasional silent miss costs little.
Choose OpenAdapt when
Choose OpenAdapt when a replayed action writes to a system of record that matters: the compiled program is reviewable, healthy runs are deterministic with zero model calls, the business effect is verified out of band after the run, ambiguity halts instead of guessing, and the MIT runtime plus your data can stay entirely inside your boundary.
Recording is the commodity; OpenAdapt does not claim to record better. The difference is governance: an independent verifier, an explicit verified-or-halted outcome for every run, and published qualification evidence per execution surface.
Other comparisons
Test the difference on one real workflow.
Bring one repeated, consequential workflow and measure authoring time, run time, intervention rate, and incorrect-success rate against your current approach.