CAPSULE
Qiln Pitch Deck
Introduction
Qiln
Agents get forks, not production
Safe changes for production AI workflows
The repository is not the production system
Teams cannot safely change what they cannot recreate
AI workflow state spans many artifacts outside a code repository. When those parts are not captured as one known-good version, teams cannot reliably reproduce, test, inspect, or roll back a change
Change requested
- Model swap
- New inputs or outputs
- Runtime dependencies
- CUDA drivers
- Reproduce?
- Inspect?
- Roll back?
No captured known-good state.
Messy Production State
- Workflow logic + services
- Models + private assets
- Inputs, outputs + persistent files
- Configuration + dependencies
- Routes + schemas
- Credential references
- Test / release evidence
- External actions / side-effect policy
Version the whole working system
A capsule is the versioned, runnable state around a working AI workflow
It preserves the relevant system state needed to run, edit, review changes, test, and safely change a production AI workflow
Scattered code, runtime, model, data, environment, and route state converges into a Qiln version 42 known-good capsule. Production remains fixed at the protected generate route while both a human and an agent receive an isolated version 43 fork.
Give every change a safe path
A known-good capsule gives every change a safe path
Agents get forks, not production
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