Production-grade autonomous agents running 24/7 — eliminating repetitive ops, slashing API costs by 90%+, and making decisions without human babysitting. Built for F&B, insurance, real estate, and calendar management. Deployed. Running. Not demos.
I spent years in admin support — handling repetitive tasks, managing data, and fielding the same customer questions daily. I know exactly where the manual work hurts.
Now I build AI agents that eliminate that busywork. Not chatbots — autonomous systems that receive a task, plan a multi-step approach, call external tools, and deliver a result. My agents run 24/7, route work intelligently between local and cloud models to slash costs, and learn from corrections over time.
I specialize in agent orchestration, persistent memory systems, tool integration, and production deployment on Docker/VPS — primarily using OpenClaw (an open-source agent framework built on Anthropic's Claude SDK). I've shipped systems that run daily F&B intelligence across 14 departments, automate real estate market reports on a schedule, and manage calendars via natural language — no dashboards, no manual steps.
Local models handle routine tasks while cloud models are reserved for complex reasoning — dramatically reducing API costs while maintaining top-tier performance.
→ What this means for you: Most clients see 80–95% lower API costs vs. an OpenAI-only setup.
Repeated context is cached across turns, eliminating redundant token processing. Combined with context pruning, this delivers up to 90% token savings on production workloads.
Agents regularly audit core configuration files to prevent context bloat — trimming redundant instructions, removing verbose prompts, and modularizing specialized skills.
All systems run in containerized environments for reliability, automated restarts, and 24/7 autonomous operation on Linux VPS infrastructure.
Agents autonomously interact with external tools — not just generating text, but performing real actions across APIs, databases, file systems, and automation pipelines.
Each agent specializes in one role. Together they form a pipeline capable of handling complex, multi-step tasks that no single model could reliably complete alone.
Agents maintain long-term knowledge across sessions — auto-curating facts, decisions, and preferences with zero manual effort. 3-layer architecture ensures reliability: code layer (100%), cron jobs (95-100%), agent (read-only).
Every user correction is logged immediately. The system detects recurring mistakes and auto-corrects future behavior.
Context windows compress over time. The agent treats compaction as a full memory wipe and writes to disk proactively.
A fully orchestrated enterprise AI system with 14 specialized agents organized across 4 functional layers — all coordinated by Serene, the central intelligence orchestrator. Built for a real F&B business. Result: daily intelligence briefings across R&D, supply chain, HR, and marketing run automatically — no human triggers required. Management reviews a consolidated report; the agents do the rest.
Multi-agent AI system that analyzes MLS housing market data and auto-generates investor-grade reports on a scheduled basis. Reports are ready before markets open — no analyst, no manual data pull.
An AI agent that integrates with Google Calendar to read schedules, generate daily reports, compute profit for the day, and manage appointments — all through natural language commands. Saves ~45 minutes daily on schedule review and profit reconciliation. No training required — just talk to it.
An AI agent capable of autonomous web research, structured knowledge extraction, fact validation, and report generation without human intervention.
An agent capable of learning from its own past performance through structured correction logging, pattern analysis, and automatic memory updates.
Build and deploy landing pages and full websites directly through OpenClaw — edit content, update sections, and push changes live without touching a code editor. Agents can modify HTML, deploy via Docker, and manage entire sites autonomously.
AI agents that plug directly into GoHighLevel — autonomously managing contacts, moving leads through pipelines, sending follow-up SMS/emails, booking appointments, and triggering workflows. No manual CRM work. The agent handles it all the moment a lead comes in.
AI voice agents that make outbound calls, hold natural two-way conversations, qualify leads, book appointments, and handle objections — indistinguishable from a real human rep. Built on Retell AI with Telnyx and Twilio telephony. No scripts. No call center. Runs 24/7 at scale.
Have a project in mind?
Let's Build This →I'll assess your workflow, design an agent architecture, and deliver a working system — not a demo. Free 30-minute scoping call to see if we're a fit.
Project-based & retainer pricing · Free scoping call · Usually available within 1–2 weeks
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