Turn AI Agents Into
Your Business Engine

# SOUL.md — Agent Identity File

## Core Identity
Name: Henry
Role: Master Orchestrator & Business Intelligence

## Capabilities
- Web scraping via web-reader skill
- Real-time data monitoring (cron)
- Telegram notifications (@HenryAI_bot)
- SQLite database management
- PDF/HTML report generation

## Data Sources
- sreality.cz (real estate)
- oenergetice.cz (energy prices)
- XTB API (trading signals)

## Rules
- Always cite data sources
- Flag anomalies >2σ from baseline
- Never send alerts 23:00-07:00 CET
- Store all findings in business.db

# ORCHESTRATOR.md — Scheduling & Routing

## Cron Jobs

real_estate_monitor:
  cron: "0 */4 * * *"   # every 4h
  agent: @Researcher
  task: Scan sreality.cz for new listings
  filter: price_per_m2 < 80000 CZK
  notify: telegram

energy_weekly:
  cron: "0 8 * * 1"    # Monday 8am
  agent: @Researcher
  task: Generate weekly energy briefing
  deliver: [telegram, email, pdf]

health_check:
  cron: "*/30 * * * *"  # every 30m
  agent: @Action
  task: Check system status, log metrics

# Setup via @BotFather on Telegram
# 1. /newbot → get BOT_TOKEN
# 2. Get your CHAT_ID
# 3. Add to TOOLS.md:

telegram:
  bot_token: "7234xxx:AAFxxx"
  chat_id:   -1001234567890
  mode:      markdown

# Agent sends alert like this:
@Action: Send Telegram message:
  "🏠 New listing below threshold!
  Price: 1.89M CZK (36k/m²)
  ROI est.: 7.9%/yr
  🔗 https://sreality.cz/..."

# Result: instant push notification on phone

-- business.db — auto-created by agents

CREATE TABLE listings (
  id         INTEGER PRIMARY KEY,
  url        TEXT,
  price      INTEGER,
  size_m2    REAL,
  price_m2   REAL,
  location   TEXT,
  found_at   DATETIME DEFAULT CURRENT_TIMESTAMP,
  alerted    BOOLEAN DEFAULT FALSE
);

CREATE TABLE energy_prices (
  date       DATE,
  electricity REAL, -- EUR/MWh
  gas        REAL, -- EUR/MWh
  co2        REAL  -- EUR/t
);

-- Agents query via natural language:
-- "Find all listings below 50k CZK/m²"
-- → auto-generates + executes SQL