Automation Pipelines

Automation Pipelines with AI

# n8n / Zapier with AI nodes
# Or build custom pipelines with agents

import anthropic
from apscheduler.schedulers.asyncio import AsyncIOScheduler

client    = anthropic.Anthropic()
scheduler = AsyncIOScheduler()

async def daily_report_pipeline():
    """Automated daily report: fetch -> analyse -> summarise -> send"""

    # Step 1: Fetch data
    sales_data   = await fetch_crm_data()
    market_news  = await fetch_rss_feeds()
    server_stats = await fetch_prometheus_metrics()

    # Step 2: AI analysis
    analysis = client.messages.create(
        model="claude-opus-4-5", max_tokens=2000,
        system="You are a business analyst. Create an executive summary.",
        messages=[{"role":"user","content":f"Data: {sales_data}
News: {market_news}
Stats: {server_stats}
Create daily briefing."}]
    ).content[0].text

    # Step 3: Format and send
    html_report = format_as_html(analysis)
    await send_email("ceo@company.com","Daily AI Briefing", html_report)
    await post_to_slack("#daily-reports", analysis[:500])

scheduler.add_job(daily_report_pipeline, "cron", hour=8, minute=0)
scheduler.start()