Business Chatbots
Conversational interfaces that know your services, pricing, policies, and FAQs. Handles common inquiries, qualifies leads, and hands off to a human when it matters.
AI Features & Integrations
AI That Solves Real Problems
AI is not a product you buy — it is a layer you build. We integrate intelligent features into your website, app, or workflow using the Claude API and Vercel AI SDK.
Our Approach
We Build AI Features That Actually Get Used
Most AI projects fail because they start with the technology. A business adds a chatbot because everyone else has one — not because it solves a specific problem. The result is a feature nobody trusts, nobody uses, and that gets quietly disabled six months later.
We start with the problem. What are your customers asking that you can not answer fast enough? What are your team members doing manually that a model could handle? Once the use case is clear, we build the right integration — using Claude API and the Vercel AI SDK — and we build it to be reliable, not just impressive in a demo.
What We Build
AI Integration Types
Smart Search
Semantic search that understands intent, not just keywords. Users find what they need even when they do not know the exact term. Built with vector embeddings and retrieval pipelines.
Content Pipelines
Automated workflows that generate, summarize, classify, or transform content at scale — blog drafts, product descriptions, report summaries, social copy. You review; AI does the heavy lifting.
Workflow Automations
AI-powered automations that trigger on events: incoming leads routed by intent, support tickets classified by urgency, documents parsed and filed. Built to run while you sleep.
Form Intelligence
Contact forms and intake flows that use AI to route, pre-qualify, and respond. A plumbing company gets emergency calls routed instantly; a consulting firm gets inquiries matched to the right team member.
AI-Augmented Content
Existing page content enhanced with AI-generated summaries, related questions, or dynamic FAQ sections. Strong GEO signal — AI engines prefer content structured for AI consumption.
How It Works
From Idea to Production
Define the Problem
We start with what you actually want to automate or improve — not with picking a model. Most AI projects fail because they start with the technology instead of the use case.
Scope the Integration
We map what data the AI needs, what actions it should take, and what guardrails it requires. You approve the scope before any code is written.
Build and Test
The integration is built, tested with real inputs, and tuned until the outputs are reliable. AI features need more testing than traditional features — we account for that.
Ship and Monitor
We deploy to production and monitor early usage. AI behavior in the wild can surprise you — we stay engaged through the first weeks to catch and fix edge cases.
AI Features FAQ
Common Questions About AI Integrations
Do I need a large budget to add AI features?
No. Most AI feature integrations are scoped as additions to an existing site or app — not full rebuilds. A chatbot that knows your service catalog, a smart contact form that routes inquiries, or an automated content pipeline can be built and deployed for a fraction of what you might expect. We scope only what adds real value.
What AI models do you work with?
Primarily Claude (Anthropic) via the Claude API, which we use through the Vercel AI SDK for clean streaming and structured outputs. Claude is particularly strong for business-facing applications: it follows instructions precisely, handles long context well, and is less likely to go off-script than alternatives. We can work with other providers if your project requires it.
How do you keep AI responses accurate to my business?
Through system prompts, retrieval-augmented generation (RAG), and structured outputs — not fine-tuning. We build AI features that reference your actual content: your service descriptions, FAQs, policies, and product catalog. The model does not guess; it retrieves and synthesizes from what you have given it.
Can AI features be added to an existing website or app?
Yes — this is the most common scenario. We integrate AI into existing codebases without rewriting what already works. A typical integration involves adding an API route, a streaming response handler, and a UI component. Most projects can have a working AI feature in days, not months.
What is the difference between a chatbot and an AI integration?
A chatbot is one type of AI integration — a conversational interface. AI integrations are broader: they include smart search, content generation pipelines, automated classification, data extraction, email drafting, and more. We start by understanding what problem needs solving, then pick the right AI interaction pattern for it.