AI-Native
Web Development

Production-grade AI integrations — agents, retrieval pipelines, and intelligent features built into modern web applications.

AI Agents
RAG Pipelines
Tool Use
Structured Output
Prompt Engineering
Multi-Modal
The Problem

Building with AI
is still painful.

  • Prompts that break with every model update
  • No structure — raw strings in, raw strings out
  • Hallucinations shipped straight to users
  • Vendor lock-in to a single provider
  • Demo-quality code that can't scale to production
The Solution

Ship AI features
with confidence.

  • Type-safe schemas that validate every response
  • Provider-agnostic — swap models without rewriting
  • Guardrails, grounding, and retrieval built in
  • Streaming, caching, and observability from day one
  • Production patterns refined across real projects

Capabilities

Everything you need to ship AI features that actually work in production — not just in a notebook.

01

AI Agents & Tool Use

Autonomous agents that can reason, plan, and act. ReAct-pattern tool calling with structured I/O and human-in-the-loop controls.

02

RAG & Knowledge Bases

Retrieval-augmented generation with vector search, chunking strategies, and hybrid retrieval — grounded answers from your own data.

03

Structured Output

Type-safe responses validated against Zod schemas. No more parsing raw text — get objects, arrays, and enums back from every call.

04

Multi-Provider Support

Anthropic, OpenAI, Google, and open-source models behind a single interface. Switch providers without rewriting integration code.

05

Streaming & Real-Time

End-to-end streaming from model to UI. Server-sent events, partial JSON, and progressive rendering for responsive experiences.

06

Prompt Engineering

Battle-tested prompt patterns — few-shot, chain-of-thought, and system prompts tuned for reliability, not just demos.

See It in Action

Real patterns from production projects — not toy examples. Every snippet is type-safe, streaming-ready, and provider-portable.

extract.ts
import { z } from "zod";
import { generateObject } from "ai";
import { anthropic } from "@ai-sdk/anthropic";

const ProductSchema = z.object({
  name: z.string(),
  price: z.number().positive(),
  features: z.array(z.string()),
  sentiment: z.enum(["positive", "neutral", "negative"]),
});

const { object } = await generateObject({
  model: anthropic("claude-sonnet-4-20250514"),
  schema: ProductSchema,
  prompt: "Extract product info from this review...",
});

// object is fully typed as z.infer<typeof ProductSchema>

The Stack

Battle-tested tools and frameworks. Every integration is chosen for production reliability, not hype.

Models & Providers

Anthropic Claude
OpenAI GPT
Google Gemini
Ollama / Local

Frameworks & SDKs

Vercel AI SDK
LangChain
Anthropic SDK
OpenAI SDK

Data & Retrieval

Neon Postgres + pgvector
Pinecone
ChromaDB
Drizzle ORM

Infrastructure

Deno / Node.js
Hono / Next.js
Streaming SSE
Edge Functions

Production Checklist

Type-safe end-to-end
Streaming responses
Multi-modal (text, images, audio)
Function / tool calling
Structured output with Zod
Retrieval-augmented generation
Prompt versioning & testing
Cost tracking & rate limiting
Observability & logging
Human-in-the-loop controls
Provider fallback chains
Response caching

Ready to add AI to your product?

From prototype to production — let's build intelligent features that actually ship.