How We Build

Our Technology

We're opinionated about how to build. TypeScript everywhere. Edge-first deployment. AI as a first-class citizen.

Engineering Principles

End-to-end type safety from database schema to UI. We use TypeScript in every layer — no "we'll add types later" technical debt.

const engine: AIEngine = new AisoEngine({
  model: "claude-opus-4",
  tools: [scout, closer, strategist]
});

Cloudflare Workers and Pages for latency that's invisible. Static where possible, edge functions where dynamic behavior is needed.

export const onRequest: PagesFunction = async (ctx) => {
  const data = await ctx.env.DB.prepare(...)
  return Response.json(data);
};

We treat LLMs like any other infrastructure component — with proper error handling, retry logic, cost management, and observability.

const result = await withRetry(
  () => claude.messages.create({...}),
  { maxAttempts: 3, backoff: "exponential" }
);

Structured logging, error tracking, and performance monitoring baked in from day one. We know when things break before clients do.

logger.info("lead.scored", {
  leadId, score, signals,
  latency: Date.now() - start
});

Specialized agent workers (scout, closer, strategist)

Human-in-the-loop approval flows

Persistent action queues with retry

Agent-to-agent delegation and handoffs

Anthropic Claude (Opus, Sonnet, Haiku)

OpenAI GPT-4 and embeddings

Structured output extraction

Cost tracking and rate limiting

PostgreSQL with Drizzle ORM

Cloudflare D1 for edge SQLite

Redis for caching and queues

Sanity CMS for structured content

Stripe (billing, subscriptions, dunning)

SendGrid / Resend (transactional email)

LinkedIn and Apollo (lead enrichment)

Cloudflare (DNS, pages, workers, R2)