Documentation cleanup and consolidation

Removed redundant/outdated files:
- docs/HEARTBEAT_HOOKS.md (legacy, disabled by default)
- docs/QUICK_START_PULSE.md (merged into PULSE_BRAIN.md)
- docs/MONITORING_COMPARISON.md (merged into PULSE_BRAIN.md)

Consolidated monitoring docs:
- Merged 3 monitoring files into comprehensive PULSE_BRAIN.md
- Added Quick Start section to PULSE_BRAIN.md
- Added "Why Pulse & Brain?" comparison section
- Added deprecation notices for Heartbeat system

Updated README.md:
- Clarified Haiku is default model (12x cheaper)
- Added prompt caching info (90% savings on Sonnet)
- Removed duplicate setup instructions
- Linked to SETUP.md for detailed instructions
- Added model switching commands section

Simplified WINDOWS_QUICK_REFERENCE.md:
- Reduced from 224 lines to ~160 lines
- Removed redundant development/deployment sections
- Kept essential quick commands
- Added model switching commands

Updated docs/README.md navigation:
- Removed references to deleted files
- Added deprecation notice for Heartbeat
- Updated learning paths
- Cleaned up file organization section

Result:
- Removed 300+ lines of redundant documentation
- Consolidated 3 monitoring files into 1
- Improved accuracy and clarity
- Easier navigation and maintenance

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

README.md

@@ -15,80 +15,46 @@ A lightweight, cost-effective AI agent framework for building proactive bots wit
 
 ## Features
 
-- **Multi-LLM Support**: Claude (Anthropic) and GLM (z.ai) with easy model switching
-- **Smart Memory System**: SQLite-based memory with automatic context retrieval
+- **Cost-Optimized AI**: Default Haiku 4.5 model (12x cheaper), auto-caching on Sonnet (90% savings), dynamic model switching
+- **Smart Memory System**: SQLite-based memory with automatic context retrieval and FTS search
 - **Multi-Platform Adapters**: Run on Slack, Telegram, and more simultaneously
-- **Pulse & Brain Monitoring**: 92% cost savings with intelligent conditional monitoring
+- **Pulse & Brain Monitoring**: 92% cost savings with intelligent conditional monitoring (recommended)
 - **Task Scheduling**: Cron-like scheduled tasks with flexible cadences
-- **Skills Integration**: Local Claude Code skills invokable from messaging platforms
-- **Heartbeat System**: Configurable health checks and proactive monitoring
+- **Tool Use System**: File operations, command execution, and autonomous task completion
+- **Multi-LLM Support**: Claude (Anthropic) primary, GLM (z.ai) optional
 
 ## Quick Start
 
-### Windows 11 Users (Recommended)
+**For detailed setup instructions**, see **[SETUP.md](SETUP.md)** - includes API key setup, configuration, and troubleshooting.
 
-**One-click setup:**
-```powershell
-quick_start.bat
-```
-
-This will:
-- Create virtual environment
-- Install dependencies
-- Check for API key
-- Guide you through setup
-
-**Verify installation:**
-```powershell
-python test_installation.py
-```
-
-For detailed Windows deployment (service setup, monitoring, troubleshooting), see [Windows Deployment Guide](docs/WINDOWS_DEPLOYMENT.md).
-
-### Linux/macOS
-
-**1. Installation**
+### 30-Second Quickstart
 
 ```bash
-git clone https://github.com/yourusername/ajarbot.git
+# Clone and install
+git clone https://vulcan.apophisnetworking.net/jramos/ajarbot.git
 cd ajarbot
 pip install -r requirements.txt
-```
 
-**2. Set Environment Variables**
+# Configure (copy examples and add your API key)
+cp .env.example .env
+cp config/scheduled_tasks.example.yaml config/scheduled_tasks.yaml
 
-```bash
-export ANTHROPIC_API_KEY="sk-ant-..."  # Your Claude API key
-export GLM_API_KEY="..."                # Optional: z.ai GLM key
-```
+# Add your Anthropic API key to .env
+# ANTHROPIC_API_KEY=sk-ant-...
 
-**3. Run Your First Bot**
-
-```python
-from agent import Agent
-
-# Initialize with Claude
-agent = Agent(provider="claude")
-
-# Chat with automatic memory and context loading
-response = agent.chat("What should I work on?", username="alice")
-print(response)
-```
-
-**4. Try the Examples**
-
-```bash
-# Basic agent with memory
+# Run
 python example_usage.py
-
-# Agent with Pulse & Brain monitoring
-python example_bot_with_pulse_brain.py
-
-# Multi-platform bot (Slack + Telegram)
-python bot_runner.py --init  # Generate config
-python bot_runner.py         # Start bot
 ```
 
+**Windows users**: Run `quick_start.bat` for automated setup
+
+### Model Switching Commands
+
+Send these to your bot:
+- `/haiku` - Fast, cheap (default)
+- `/sonnet` - Smart, caching enabled (auto 90% cost savings)
+- `/status` - Check current model and settings
+
 ## Core Concepts
 
 ### Agent