Turn a customer email into a safe CRM update.
Choose a fictional message. A real local model reads the email, the customer record, and the handling rule, then proposes the exact status and queue changes. Nothing is written until you approve the preview.
Choose an email
Each message maps to a real back-office decision.
The demo inbox is empty. Reset the demo to reload it.
Choose an email
Select an email to open its customer record and handling rule.
Review the exact update
The model can suggest a change. Only this interface can preview and apply one.
Run the local model or use the guided route. The before-and-after record will appear here.
Local AI Demo
Give a real local model a customer email. See the CRM update it proposes, the rule it checks, and the exact change before anything is written.
Load the model
Qwen2.5-0.5B-Instruct runs in this browser through WebGPU. It reads only the fictional email, CRM facts, and handling rule. No prompt is sent to an external model API.
- Download
- about 520 MB, once per browser cache
- License
- Apache 2.0
- Data
- Fictional customer email and CRM record
The demo is opening a synthetic case. You can write an instruction while it finishes.
Suggested CRM update
The result will show the proposed queue and status, the facts used, and the handling rules checked.
What the interface recorded
The model reads the message. The application owns the update.
The local model receives only the fictional email, CRM facts, handling rule, and visitor instruction. It never receives a credential or a function that can change state. Validation, visible preview, confirmation, version checks, and idempotency remain separate controls.
- The model runs locally with no external inference API
- Customer emails and model output are treated as untrusted input
- The result is limited to known CRM fields and queues
- Every write is rule checked, version bound, and idempotent
- No prompt or model output is sent to analytics