AI consultingProduction AI agents, connected to your real systems
Custom agents built by two senior engineers who know both LLMs and production systems.
Talk to a founder →
FROM OUR OWN WORKRelated things we’ve built.
- Differential AI Lab (difflab.ai) — our four-person applied AI research and consulting lab focused on agentic boundary enforcement, compliance, and AI software factories.
- claude-guardrails & prompt-bonk — AST-based Rust pre-tool security guardrails (validated on 154K real agent decisions) and sub-millisecond prompt injection scanning.
- agent-babel & ai-agent-toolbox — self-hosted agent message bridge with authenticated MCP, explicit approval, and tool-use primitives.
- getaiceo.com — AI-powered executive decision-making for SMBs and startups, and a Backdrop Build V4, V5 & V6 finalist.
THE WORKWhy AI Agents Matter Now
Complex Integration Challenges
Connecting AI agents to existing systems requires deep technical expertise
Rapid Technology Evolution
Keeping up with the latest LLM capabilities and best practices is a full-time job
Production Reliability
Moving from demo to production-grade agents needs serious engineering
START WITH YOUR SITUATIONA scope we can shape together.
These are starting points for a conversation. We’ll agree the scope and timing around your project.
For Early-Stage Startups
- MVP Development for AI-First Products
- Proof of Concept for Fundraising
- Core Architecture Setup
Typical Timeline: 4-8 weeks
For Funded Startups
- Customer Service Automation
- Internal Tool Automation
- Data Processing Agents
Typical Timeline: 8-12 weeks
For Teams with Existing Products
- Integration with Existing Systems
- Custom Agent Networks
- High-Performance Agent Systems
Typical Timeline: 12+ weeks
TOOLS FOR THE TASKTechnologies we use.
The problem decides the approach. These are some of the tools we reach for in this kind of work.
frameworks
- LangChain
- ell
- Custom Agent Frameworks