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Guides & recipes

From quickstart to production. In under a day.

Step-by-step tutorials for the integrations you'll actually build. Custom workflow engines, AI-powered features, warehouse pipelines, and embedded CRM views — every snippet runnable.

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Most popular guides
Updated weekly
Build a custom workflow engine in 200 LOC
12 min
Integrate AI: draft replies with your LLM
18 min
Stream Atlas events to Snowflake (CDC)
22 min
Embed a pipeline in your SaaS app
15 min
Migrate from HubSpot without downtime
40 min

Everything you need, built in.

The essentials for teams that want to move fast without giving up control.

Quickstarts
Hello-world in every SDK. Hit your first 200 in under 10 minutes.
AI recipes
Draft email, summarize meeting, score a deal. Each recipe runs end-to-end.
Data pipelines
Warehouse sync, reverse ETL, embed APIs. Production-tested patterns.
Auth & security
OAuth flows, scoped tokens, rotating secrets, and audit log best practices.
Migration playbooks
From HubSpot, Salesforce, or Pipedrive. Dry-run, cutover, and rollback.
Build a custom workflow

Your domain logic, event-driven.

Listen to `deal.*` events, apply your domain rules, write back via the API. This recipe covers the full loop — signature verification, idempotency, and retry-safe handlers.

  • Set up a signed webhook endpoint in 20 lines
  • Apply domain logic: scoring, routing, SLAs
  • Write back with idempotency keys for crash-safety
  • Deploy to Vercel, Cloudflare Workers, or Fly.io
app/atlas/route.ts
import { atlas } from "@atlas/sdk";
export async function POST(req: Request) {
const event = atlas.webhooks.verify(
await req.text(),
req.headers.get("atlas-signature")!,
process.env.WH_SECRET!,
);
if (event.type === "deal.stage_changed") {
await applyScoringLogic(event.data);
}
return new Response(null, { status: 200 });
}
Integrate AI

Drop your LLM into the CRM.

Use Atlas as the system of record, your LLM as the compute. This recipe wires OpenAI or Anthropic into reply-drafting, call summarization, and contact enrichment.

  • Fetch deal context via GraphQL in one round-trip
  • Pipe to your LLM with structured output schemas
  • Write results back as activities or custom fields
  • Audit every AI write — who, when, which prompt
Python · AI draft reply
from atlas_sdk import Atlas
from anthropic import Anthropic
ctx = atlas.deals.get(deal_id, expand=["thread"])
draft = anthropic.messages.create(
model="claude-opus-4-7",
messages=[{
"role": "user",
"content": f"Draft a reply for this deal: {ctx}",
}]
)
atlas.activities.create(type="email_draft", body=draft.content)

Teams ship revenue with this.

Real-world use cases across every revenue function.

Build an internal app on Atlas
Recipes for Next.js, Rails, and Go. Auth, UI, and data patterns you'd have to invent otherwise.
Ship an AI feature
End-to-end AI patterns: context fetch → LLM → structured write-back, with eval and guardrails.
Migrate a CRM without downtime
Parallel-run, dry-run validate, cutover on a Friday night. Rollback steps included.
Go multi-tenant
Use scoped tokens and embed APIs to resell Atlas under your brand. Billing patterns included.

Frequently asked questions

Are these guides kept up to date?

Yes — every guide is CI-tested against the current API version. If a code snippet breaks, the guide fails to build. No stale examples.

Can I run the examples locally?

Every guide ships with a matching repo on GitHub (`atlas-dev/guides/<slug>`). Clone, set your API key, run `make dev`.

Do you have video walkthroughs?

Yes — the top 10 guides have a 5-10 minute walkthrough on atlas.dev/watch. Chaptered, captioned, searchable.

Can I request a guide?

Absolutely. Request one in the `#devrel-requests` Discord channel or email `developers@atlas.dev`. Common requests get prioritized.

Keep exploring
API reference →Webhooks →SDKs →Integrations →

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