Who this is for • Founders automating a repetitive part of their business that costs hours every week • SaaS teams adding AI features without building an internal AI team • Marketing and ops teams that want agents that actually save time, not generate slop • Companies whose first AI experiment failed because it was scoped incorrectly • Founders who want one team owning architecture, build, and deployment

What you'll have at the end • An AI agent running in production, doing the work it was scoped for • Architecture you actually own: prompts, tools, integrations, monitoring • A frontend interface or API endpoint your team can extend • RAG set up with your real data sources (PDFs, databases, APIs, internal docs) • Monitoring, logging, and cost controls so the agent doesn't surprise you • Documentation and a clean handoff so your team can extend it without us

Example agents we build • SEO agents that audit, rewrite, and publish content • Customer support agents that handle tier-1 with human handoff • Internal research agents for sales, recruiting, or due diligence • Sales qualification agents that score and route leads • Content agents that draft, edit, and post on schedule • Data agents that pull, transform, and report on live business data

Use case audit and value mapping

Architecture and stack selection

Build and prompt iteration

Integration with your tools and data

Deployment, monitoring, and tuning

Tools and platforms OpenAI, Anthropic Claude, LangChain, LlamaIndex, n8n, Make, Zapier, Python, TypeScript, Pinecone, Supabase, Vercel, Cursor

Typical timelines • Single-task agent (one workflow, one integration): 2 to 3 weeks • Multi-step agent (multiple tools, RAG, monitoring): 3 to 6 weeks • Production-grade system (multi-agent, custom UI, full ops): custom estimate

What we get about building an AI agent • You've watched ChatGPT demos that looked magical and then fell apart on real data. • You've paid for a "custom AI solution" that was a thin wrapper around an API key. • You don't want a chatbot. You want an agent who does the job a person was doing. • You're scared the agent will hallucinate, leak data, or quietly cost you $4,000 a month in tokens. • You don't want a Python script you'll have to maintain forever with no documentation. • You've watched competitors ship AI features, and you don't know whether yours should be a feature, a workflow, or its own product. • You want someone who'll tell you when AI is the wrong answer, not just bill you for it.