Public Safety Analytics Platform
We deployed an intelligent analytical agent for a public safety organization to replace manual incident report analysis across hundreds of historical records. The agent connects directly to cloud-hosted data sources via a custom REST integration, ingests the full operational dataset, and responds to natural language queries from leadership in their existing collaboration platform.
Decision-makers ask questions like "top incident categories in the last 12 months" or "which departments have the highest preventable incident rates" and receive instant answers with charts, rankings, and trend analysis. The agent loop runs continuously: ingest updated records, maintain analytical context, interpret queries, generate visualizations, and deliver results — all without manual data pulls or spreadsheet work.
Autonomous Financial Trading System
We built a full autonomous trading pipeline using exchange APIs and a multi-stage agent architecture. The system scans multiple asset pairs, computes technical indicators including RSI, MACD, Bollinger Bands, volume profiles, and momentum scores, then scores each opportunity on a weighted model and executes staged entry strategies with automated profit targets and stop-loss protection.
The agent loop operates around the clock: scan markets, score opportunities, size positions within configurable guardrails, place orders, monitor fills, and adjust. All activity is logged for audit and performance review. The system includes configurable risk parameters — maximum budget per run, single-trade caps, reserve percentages, and approved asset lists — ensuring disciplined execution even during volatile conditions.
Multi-Agent Coordination Framework
We designed and deployed a coordinated multi-agent system spanning multiple specialized agents operating across different hosts and platforms. A coordinator agent manages task routing, memory synchronization, and cross-agent handoffs via a shared version-controlled state layer. Specialist agents handle email operations, content management, market analysis, and operational monitoring — each with custom skills tailored to their domain.
The framework includes structured handoff protocols, shared memory logs, curated long-term context, and heartbeat-driven health checks. Every agent follows the same operational discipline: observe, reason, act, log, commit. The architecture scales horizontally — adding a new specialist requires only a skill definition and a coordination entry, not a system redesign.