Field-tested implementation patterns for the work AI vendors love to demo but rarely operationalize: invoices, contracts, field notes, customer handoffs, and private data. Pick a system, see the stack, download the starting files, and decide if it belongs in your business.
Commercial Real Estate Brokerage & Investment
Commercial Real Estate Sovereign Agent & Dual-Tier Local/Cloud Underwriter
Target Hardware: M5 / M4 iMac or Mac Studio (32GB+ Unified Memory)
⚡AUDIO BRIEFING•ElevenLabs Adam (Sovereign Executive)
Commercial Real Estate Sovereign Agent & Dual-Tier Local/Cloud Underwriter • Executive Audio Debrief
0:45
Air-gapped local model execution on Apple Silicon (M-Series 32GB RAM) for private rent rolls and financial statements, combined with mobile Telegram audio dispatch for touring brokers and automated Mac Keynote/HTML marketing flyer generation.
Verified Operational Outcomes:
✓Target: keep restricted rent rolls and investor data on approved local storage; validate cloud boundaries before using hosted models.
✓Measure: transcription accuracy and time from a field note to a reviewed investor match.
✓Measure: document-processing and flyer-generation time on a defined sample of offering memoranda.
Downloadable Implementation Files
📦 CRE Underwriting & Flyer Generator Skill Pack
Complete skill definition for parsing T-12s, calculating Cap Rates/NOI, and triggering local macOS flyers.
cre-underwriter-suite.skill • 8.4 KB
📦 Hermes CRE Config Starter Template
Pre-tuned model routing, temperature parameters, and local SQLite memory indexing configs.
hermes-cre-config.yaml • 1.9 KB
Implementation Runbook
Step 1:Environment & Core Agent Setup
Initialize a high-performance Python virtual environment on macOS using Astral uv, and clone the Hermes core runtime.