LAW Ventures — EV/LV Platform

LAW VENTURES — EV/LV CHARGING INFRASTRUCTURE PLATFORM Built by A Development | Delivered in 24 Days OVERVIEW LAW Ventures needed a comprehensive platform to evaluate EV charging infrastructure opportunities across Illinois. The scope included grant tracking, site feasibility analysis, ROI modeling, and AI-driven research — work that would traditionally take a team of analysts 6+ months and $200K+. A Development delivered a fully functional platform in 24 days, solo. THE CHALLENGE The EV charging market is complex: overlapping federal and state grant programs, utility incentive structures, ICC regulatory requirements, and site-specific feasibility variables. LAW Ventures needed to evaluate dozens of sites simultaneously while staying current on $300M+ in available funding programs. Manual research was unsustainable. They needed automation and AI. WHAT WE BUILT 1. Grant Intelligence Engine Tracks $148M+ across 5 active funding programs in real time: — NEVI (National Electric Vehicle Infrastructure): $148M federal allocation for Illinois — CEJA Round 3: $20M Illinois clean energy program — ComEd EV Programs: $100M utility incentive portfolio — CFI (Charging & Fueling Infrastructure): Federal discretionary grants — USDA REAP: Rural Energy for America Program The system validates grant stacking eligibility, calculates maximum combined funding per site, and flags compliance requirements automatically. 2. AVA — AI Research Agent (Strands SDK + Claude API) AVA is a specialized AI agent with 12+ custom tools: — query_knowledge_base: Semantic search across 300+ grant/regulatory documents — calculate_comed_rebates: Real-time rebate calculation by charger type and capacity — check_icc_requirements: Illinois Commerce Commission certification pathway lookup — validate_grant_stacking: Multi-program eligibility cross-check — analyze_nrel_stations: NREL API integration for competition density analysis — generate_grant_narrative: AI-drafted grant application sections — explain_hourly_pricing: ComEd hourly pricing explanation for ROI models AVA handles research queries in natural language, surfaces relevant grant programs, and generates structured reports — all through a conversational interface. 3. Site Analysis Dashboard Automated feasibility reports for any Illinois location using NREL, ChargeHub, and ChargePoint APIs. Each report includes: — Competition density (existing stations within 1, 3, 5 mile radius) — Estimated daily utilization based on traffic patterns — ROI projections at 3, 5, and 10-year horizons — Grant stacking scenarios (best case / conservative) — ICC certification requirements and timeline 4. Audio Reports (Zero API Cost) Podcast-style AI-generated audio summaries using locally-hosted Ollama models. LAW Ventures leadership can listen to site analysis reports during commutes. $0 per report vs $0.06/min with cloud TTS. 5. Expert Consensus Engine Weighted scoring system across 5 expert perspectives (financial, regulatory, technical, market, environmental) for each site evaluation. Reduces analysis bias and surfaces non-obvious site risks. 6. N8N Automation Workflows 24 automated workflows handling: daily grant program updates, session capture and summarization, help request routing, weekly pipeline summaries, and Supabase data sync. RESULTS Development Metrics: — 24,500 lines of code across 187 files — Delivered in 24 days (solo developer) — Traditional estimate: 6 months, 3-person team — Speed advantage: 15x faster — Cost advantage: ~$180K under market rate Platform Capabilities: — 8 API integrations (NREL, ChargeHub, ChargePoint, Grants.gov, ComEd, AFDC, WattTime, ICC) — 12 MCP tools available to AVA agent — $300M+ in grant programs tracked — $0 per audio report (local Ollama vs cloud TTS) — Real-time grant stacking validation TECH STACK Backend: Node.js, Express, Python, Flask, SQLite, PostgreSQL AI Layer: Claude API, Strands SDK, Ollama (local), Fine-tuned LLMs, MCP Servers Data APIs: NREL, ChargeHub, ChargePoint, Grants.gov, ComEd, AFDC, WattTime Frontend: HTML5, JavaScript, Vue.js, Chart.js Infrastructure: Railway, GitHub Codespaces, N8N, Docker TIMELINE Week 1: Core architecture, database schema, grant intelligence engine Week 2: AVA agent tools, NREL/ChargeHub integrations, site analysis dashboard Week 3: Audio reports, expert consensus engine, N8N automation workflows Week 4: UI polish, documentation, client handoff SCOPE OF WORK ✓ Full-stack platform architecture and build ✓ AI agent design and tool implementation ✓ 8 external API integrations ✓ 24 N8N automation workflows ✓ Local AI infrastructure (Ollama) ✓ Grant intelligence database (300+ documents) ✓ Client training and documentation ✓ Railway deployment and CI/CD