We're building the demo tool we wished we had.

The story

Every demo problem traces back to the same two gaps: the account on screen doesn't look like the prospect's business, and the person who could fix that isn't in the room. MyAISE closes both. A data-aligning proxy makes the real product render a living, believable account — and an AI Sales Engineer, grounded in the product's every screen and every approved answer, builds and presents the demo on demand, in the prospect's browser.

MyAISE started as a Rust proxy that could rewrite JSON responses on the fly. Today it's a source-available MitM proxy engine with JSONPath, lol_html selectors, sandboxed JavaScript, AI rule generation, and an AI self-healing pipeline that catches drift on a schedule and checks again in the background when a viewer session starts — plus the cloud that runs live sessions, the knowledge pipeline, and MyAISE.

What we believe

• The best demo is the real product, just speaking the prospect's language. Not a recording, not a Storybook, not a Figma flow — the real thing.
• The work an SE does is craft. The AI performs the demos; sales engineers design them. The tooling should respect that craft, not erase it with auto-magic.
• Grounded or silent. The AI answers only from verified screens and human-approved knowledge — a wrong answer in a demo costs more than no answer.
• Public source is the right floor. The proxy engine and desktop app are source available, so you can audit what runs on your machine; the cloud features are what we charge for.

What's next

The roadmap is published openly in the repo. The big themes: a deeper AI Sales Engineer (richer prebuilt libraries, mid-demo conversation), deeper self-healing, and a Windows build of Studio.

If you're a sales engineer with a thorny demo problem, we'd love to hear about it. Email hello@myaise.com or open an issue on GitHub.