FlipMaster Investments — House flipping operation, 10 active projects
AI deployment blueprint for House flipping operation, 10 active projects. Automates flip management using Airtable, Google Sheets, Slack, Claude.
AI Readiness Score
Using Airtable suggests structured approach, but ARV inconsistency indicates room for improvement
Small team already using Claude, good technical adoption capability
Budget range aligns well with proposed solution complexity
Clear repetitive processes in budgeting and scheduling that are prime for automation
3-6 month timeline realistic for phased implementation
Well-established tools with good APIs, straightforward data flow
How This System Works
Architecture
Airtable-centric system with Claude agents monitoring data changes and schedules, delivering insights through Slack. Each agent operates independently but shares common data sources for comprehensive project oversight.
Data Flow
Project and financial data flows from Airtable to Claude agents for analysis. Budget Guardian watches expenses in real-time, Contractor Coordinator optimizes schedules daily, ARV Calculator standardizes valuations on new properties, and Project Health Monitor provides weekly executive summaries. All insights are delivered through Slack for immediate action.
Implementation Phases
Implement expense monitoring and budget alerts to address immediate overrun problem
Add scheduling optimization and standardize property valuations
Implement comprehensive reporting and trend analysis
Prerequisites
- -Standardize Airtable project structure
- -Configure Slack workspace with dedicated channels
- -Establish contractor availability tracking system
Assumptions
- -Current Airtable contains project and expense data
- -Team is comfortable with Slack-based notifications
- -Contractor availability can be tracked in existing systems
Recommended Agents (4)
How It Works
- 1Monitor Airtable for new expenses
Watch for changes in project budget tables
Airtable API - 2Calculate burn rate and project total
Analyze spending velocity and predict final costs
Claude - 3Generate alert if threshold exceeded
Send formatted warning with recommendations
Slack API
Data Flow
Inputs
- Airtable — Project budgets and actual expenses(JSON)
Outputs
- Slack — Budget alerts and recommendations(Message)
Prerequisites
- -Standardized expense categories in Airtable
- -Slack webhook configured
Error Handling
Retry with exponential backoff
Log alert and retry via email backup
Integrations
| Source | Target | Data Flow | Method | Complexity |
|---|---|---|---|---|
| Airtable | Claude | Project and financial data for analysis | api | simple |
| Claude | Slack | Alerts and recommendations | webhook | simple |
| Airtable | Google Sheets | ARV calculations backup | api | simple |
Schedule
0 7 * * 1-50 8 * * 1Recommended Models
| Task | Recommended | Alternatives | Est. Cost | Why |
|---|---|---|---|---|
| Budget analysis and predictions | Claude Sonnet 3.5 | GPT-4 | $30-50/month | Strong analytical capabilities for financial calculations and trend analysis |
| Schedule optimization | Claude Sonnet 3.5 | GPT-4 | $25-40/month | Excellent at constraint satisfaction and resource optimization problems |
| ARV calculations | Claude Haiku | GPT-3.5 Turbo | $10-15/month | Fast and cost-effective for standardized calculations with consistent methodology |
Impact
What Changes
Quality Gains
- ✓25% reduction in budget overruns
- ✓Consistent ARV methodology across all deals
- ✓Proactive risk identification before issues become costly
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What's next?
This blueprint is a starting point. Fork it, remix it, or build your own.