ai-workflow-automation

AI workflow automation

Multi-step agent workflow: classify → draft → polish using DNotifier defineAgent, Workflow, and runWorkflow.

What you get

• Three named agents with ctx.sendAI
• Observable workflow (observability: true) for the dashboard
• CLI to run any request (or /demo) through the pipeline

Run examples

Create an app at app.dnotifier.com, copy .env.example → .env, set credentials.

TypeScript (Node)

cd typescript
cp .env.example .env
npm install
npm start

Python

cd python
cp .env.example .env
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
python main.py

Dart

cd dart
cp .env.example .env
dart pub get
dart run bin/main.dart

Example session:

you> /demo
Running workflow: classify → draft → polish …
{
  "result": { "category": "support", "urgency": "high", "final": "…" }
}

Languages

Language	Path	Run
TypeScript	typescript/	npm start
Python	python/	python main.py
Dart	dart/	dart run bin/main.dart