Services
AI & Automation
Pipelines that run without you
I build multi-agent systems, content automation pipelines, OCR workflows, and AI integrations. These are production systems handling real throughput — not proof-of-concept notebooks. I've shipped and maintained them myself.
What I build
Multi-Agent Pipelines
I architect systems where agents hand off tasks to each other — research, writing, review, publishing — without human checkpoints in the loop. Built on Claude's agent SDK with real orchestration.
- MGT Mission Control — agent orchestration backend
- 10+ specialized agents deployed to production
- Parallel execution with dependency-aware scheduling
Content Automation
End-to-end content pipelines. From raw footage or source data to formatted, published output. I've built systems that handle video processing, transcript generation, clip extraction, and distribution.
- MGT Factory — content automation microservice
- Automated clip detection and export
- Multi-platform publish workflows
OCR & Document Processing
Extract structured data from PDFs, images, and scanned documents. I've built OCR pipelines for real estate and legal documents that feed directly into databases and downstream systems.
- Title document extraction for real estate workflows
- Structured data output to Postgres
- Error correction and confidence scoring
AI Integrations
Connecting existing apps to AI capabilities — chat interfaces, classification, summarization, generation. I wire Claude, OpenAI, and open-source models into production systems that handle real request volumes.
- Claude-backed Discord moderation
- AI-assisted CRM data enrichment
- Streaming inference endpoints for web UIs
Live systems
MGT Studio
Unified platform with /control, /factory, and /ops modules. 26+ routes, 20+ deployed agents.
MGT Factory
Content automation backend as a microservice. Handles clip processing and distribution pipelines.
MGT Mission Control
Agent orchestration backend with real-time task delegation and status tracking.
Claude Agents (Open Source)
Public repo of production-ready agent implementations. github.com/Actuvas/claude-agents
Stack I use
Claude API (claude-sonnet-4-5)OpenAI APIPython (pipelines)TypeScript (integrations)LangGraph / custom orchestrationPostgres + vector searchFFmpeg (media)Railway / Fly.io
Pricing
AI integration projects range from $5K–$20K. Single-pipeline automations start around $5K. Multi-agent orchestration systems with monitoring are $15K–$20K. I scope everything after understanding your actual data flow — no guessing.
Have a workflow to automate?
Tell me what's manual today. I'll map out what an automated version looks like and whether AI is the right tool for it.