construct-ai

name	construct-ai
description	Master construction business intelligence skill for Wade Custom Carpentry. Use for: generating project dashboards, business analytics, profitability analysis, orchestrating the wade-custom-carpentry and rsmeans-cost-estimator skills, client management, scheduling, and running the full ConstructAI business management system.

ConstructAI Skill

ConstructAI is the master business intelligence layer for Wade Custom Carpentry. It orchestrates all construction-related skills (wade-custom-carpentry, rsmeans-cost-estimator) and provides high-level project management, business analytics, and client management capabilities.

Core Capabilities

1. Project Dashboard

Generate a live dashboard of all active construction projects:

python3 /home/ubuntu/skills/construct-ai/scripts/project_dashboard.py

Output includes:

• Active projects with completion percentage
• Hours logged vs. estimated (performance ratio)
• Materials on order and lead times
• Revenue forecast for the month
• Outstanding invoices

2. Business Analytics

Analyze profitability and efficiency across all projects:

python3 /home/ubuntu/skills/construct-ai/scripts/business_analytics.py --period monthly

Key metrics:

• Gross margin per project: Revenue minus labor and materials.
• Labor efficiency: Actual hours vs. RSMeans benchmark hours.
• Material variance: Actual material cost vs. estimated.
• Client retention rate: Repeat clients vs. new clients.

3. Orchestrated Estimation

For a new project estimate, ConstructAI orchestrates the full workflow:

1. Scope analysis (via wade-custom-carpentry skill)
2. RSMeans cost data (via rsmeans-cost-estimator skill)
3. Local market adjustment (Columbus, OH CCI applied)
4. Proposal generation (using the proposal template)
5. Voice summary (via caroline-ai skill, delivered as MP3)

4. Client Management

Maintain a persistent client database:

• Client profiles: Contact info, project history, preferences, budget range.
• Communication log: All calls, emails, and meetings logged automatically.
• Follow-up reminders: Automated reminders for estimates, check-ins, and invoices.

5. Scheduling and Time Tracking

• Job scheduling: Assign tasks to calendar blocks based on project dependencies.
• Time tracking: Log hours by project and task from voice input.
• Conflict detection: Alert when two projects overlap in the schedule.

Skill Orchestration Map

ConstructAI
├── wade-custom-carpentry  (project planning, material sourcing, proposals)
├── rsmeans-cost-estimator (labor hours, unit costs, CCI adjustments)
├── caroline-ai            (voice briefings, client communication)
├── wade-telephony         (call handling, AI receptionist)
└── neurorank              (decision quality scoring)

Key References

• Business KPIs: See references/business_kpis.md for the key performance indicators tracked.
• Client Database Schema: See references/client_schema.md for the data model.
• Scheduling Rules: See references/scheduling_rules.md for job scheduling logic.

Best Practices

• Always cross-reference RSMeans: Never deliver a cost estimate without RSMeans validation.
• Voice-first reporting: When Wade is on-site, deliver all reports as voice briefings.
• Proactive alerts: Notify Wade when a project is trending over budget or behind schedule.
• Caroline integration: Route all client-facing communication through Caroline for consistency.