# v1.1.2

Release date: 2026-03-18

## Overview

This patch release closes the last major usability gap in the local AI workflow. Finished runs can now be prepared for AI automatically, and the AI commands can target a run directory directly instead of requiring users to hand-build `step.json` and `report.signed.mdmp`.

## Highlights

- Added `iints ai prepare <run_dir>` to build:
  - `report_payload.json`
  - `anomalies_payload.json`
  - `trends_payload.json`
  - `step_riskiest.json`
  - `step_latest.json`
- Added local development MDMP certificate generation during AI preparation when the MDMP extra is installed
- AI commands can now point directly at a prepared run directory:
  - `iints ai explain results/<run_id>`
  - `iints ai trends results/<run_id>`
  - `iints ai anomalies results/<run_id>`
  - `iints ai report results/<run_id>`
- `run`, `run-full`, and `presets run` now attempt to export AI-ready artifacts automatically after a simulation finishes
- Added `iints-sdk-doctor` for diagnosing legacy install conflicts where `iints ai` is missing

## Recommended Flow

```bash
iints quickstart --project-name iints_quickstart
cd iints_quickstart
iints presets run --name baseline_t1d --algo algorithms/example_algorithm.py
iints ai prepare results/<run_id>
iints ai report results/<run_id>
```

## Stability Notes

- Research use only
- Not a medical device
- No clinical dosing advice
- AI output remains blocked unless MDMP verification succeeds and the minimum grade requirement is met
