AI solutions
Most writing about business AI is either a vendor pitch or a research summary. These are notes from building the things — what a project costs, where the interesting failures are, and which problems a model genuinely solves versus which ones it only appears to.
Articles on AI solutions
14 min read
AI Agents for Business in 2026: What They Are, What They Cost, and How to Build the Right One
Gartner projects 40% of SMBs will deploy at least one AI agent by end of 2026. Most won't know the difference between an agent and a chatbot until they've paid for the wrong one. Here's the complete breakdown: what agents actually do, what each type costs, and how to build one that earns its keep.
11 min read
How to Build an AI Chatbot for Your Business in 2026 (The Right Way)
Most businesses deploy the wrong kind of chatbot and wonder why it fails. This guide breaks down the four types — rule-based, LLM-powered, RAG-based, and agentic — what each costs to build, and how to know which one your business actually needs.
12 min read
7 AI Automations That Pay for Themselves in 30 Days (With Real Cost Breakdowns)
Businesses running these seven AI automations are cutting $80,000–$150,000 in annual operating costs. Here's exactly what each one does, what it costs to build, and which one you should implement first.
11 min read
How Much Does It Cost to Build an AI-Powered App in 2026?
The honest, numbers-first answer to the most common question we get from founders. What drives the cost of building an AI app, what you can expect to pay for different project types, and where teams waste money.
10 min read
Vibe Coding in 2026: What's Real, What's Hype, and What It Means for Builders
Andrej Karpathy coined the term in February 2025 and every developer had an opinion. We've shipped real products using AI-assisted development. Here's what the hype gets right — and what silently breaks when you build on vibes.
12 min read
Building AI-Powered SaaS Products in 2026: Architecture That Holds Up
Most teams add AI on top of an existing architecture and wonder why it breaks under load. Here's how to design a SaaS product where AI is a structural component — not an afterthought.
15 min read
How to Build a RAG Chatbot with LangChain and Pinecone (Production Guide)
Most RAG tutorials stop at 'it works in the notebook.' Here is how to build a retrieval-augmented chatbot that holds up in production — chunking strategy, hybrid retrieval, prompt engineering for RAG, and how to evaluate accuracy before shipping.
What we build in this area
- AI DevelopmentEnd-to-end AI systems — from deciding what is worth building through to operating it once real users depend on it.
- AI Agent DevelopmentAgents that plan, call tools, and act across your systems — with permission boundaries, approval gates, and full traces.
- Generative AI DevelopmentRAG assistants, structured extraction, and content workflows grounded in your own data — with citations, not guesses.
- AI ConsultingDecide what to build before you commit an engineering budget. A ranked, costed roadmap you own outright.
Working on something in this area?
Tell us what you are building. If we are not the right people for it, we will say so.