Get more productive use from the AI you already own.

The organization has already paid for AI, but productive use lags. Tracepipe gives IT a practical path from AI access to useful work: employees demonstrate browser workflows they already know, and those traces become reusable skills - without asking engineering to build every workflow.

A skill is a reusable set of instructions and application checkpoints created from a traced browser workflow. It captures the steps a subject-matter expert demonstrated, so an AI environment can perform the same work and you can verify the result.

Yes. Exported skills belong to your organization. They export to the open Agent Skills format and live outside any single AI provider, so a change in models, policy, or procurement does not erase the work you invested in the library.

Provider recorders are convenient inside one platform and often start from screen capture. Tracepipe traces browser structure, navigation, and application activity, which gives a stronger basis for verification and maintenance - and the resulting skill can travel to other compatible environments.

Traces include DOM and network activity, and generated skills include application checkpoints. That produces specific evidence a workflow reached the expected result, and clearer signals when an application changes underneath it.

Tracepipe estimates expected token use before a skill is created and reports cost per run. That gives IT a budgetable basis for deciding which workflows are worth converting and for scaling the library.

Pick one that repeats often, lives in browser-based systems, can be demonstrated correctly by a subject-matter expert, can be verified from application behavior, avoids sensitive-data or approval complexity, and can be measured in time, completion, errors, or throughput.