Artificial Intelligence Consulting

AI Agents
for Operations & Development

q39@dev:~$

Consulting for companies integrating AI agents into their processes

$ ls -la services/

What We Do

AI Agent Strategy

Assessment and roadmap for integrating AI agents into your operations and development workflows. From proof-of-concept to production.

ClaudeOpenAIOllama

Custom AI Agents

Purpose-built agents tailored to your business processes. Designed for reliability, observability, and cost-efficiency at scale.

Custom AgentsMCPOpenClaw

Agent Toolkits & Harnesses

Toolkits give your agents the tools to act. Harnesses connect them to your existing infrastructure: databases, APIs, internal systems. Intelligence on your current data, without replacing what already works.

Custom ToolkitsHarness DesignOpencode

Infrastructure & Integration

End-to-end integration of AI agent systems into existing platforms. Local, cloud, or hybrid deployments.

MCPOpenClawDevOps

Anti-Agent Protection

Technology and strategy to protect sites with information intended for human processing only. Agent detection, access controls, and content safeguards against automated AI scraping and processing.

Agent DetectionAccess ControlsContent Safeguards

MCP Services

Help companies build MCP (Model Context Protocol) services that expose their APIs and data for consumption by AI tools like Claude, Copilot, and custom agents. Turn your services into agent-ready endpoints.

MCPClaudeCopilot
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Our Approach

01

The Harness Matters

Research converges on this: the infrastructure surrounding an LLM has as much impact on performance as the model itself. We design harnesses that make your agents effective.

02

Design for Tools, Not Buttons

For AI agents, a good interface has unambiguous parameters and predictable return structures. We build tools your agents can use reliably.

03

The LLM Reasons. The Harness Computes.

The most consequential design decision is what gets executed by the LLM (expensive, slow) versus what gets executed by the harness (cheap, fast, deterministic).

04

Token Optimization = The New Usability

In HCI the metric was: can a human complete the task efficiently? In ACI it's: can the agent complete the task cheaply and fast? Both reduce friction.

$ cat tech-stack.json

Technologies

Anthropic Claude LLM Provider
OpenAI LLM Provider
Ollama Local LLM
Opencode Agent Framework
MCP Protocol
OpenClaw Agent Platform
Hermes Agent Agent Platform
MacOS/Linux Agent OS
Custom Agents Built to Spec
Custom Toolkits Built to Spec
Harness Design Built to Spec
Anti-Agent Anti-Agent
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What Our Clients Say

[PLACEHOLDER] "q39.dev helped us ship our AI agent infrastructure on time and under budget." — [Client Name], [Company]

[PLACEHOLDER] "The harness design fundamentally changed how we think about our agent workflows." — [Client Name], [Company]

[PLACEHOLDER] "Expert MCP integration that connected our entire stack seamlessly." — [Client Name], [Company]

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Contact