Boundaries before intelligence
Permissions, data sources, failure conditions, and completion criteria are designed before a model or agent receives execution access.
Independent Product Company · Cloudflare Edge Native
BirruLabs builds and operates edge-native digital products. Our focus is commerce intelligence, shared agent infrastructure, and auditable operational automation that can mature through sustained use.
01 / Product principles
That is why we treat AI and automation as product infrastructure—not as standalone marketing claims.
Permissions, data sources, failure conditions, and completion criteria are designed before a model or agent receives execution access.
Release stages, decisions, tests, and usage evidence matter more than marketing numbers that cannot be verified.
Products are strengthened through observability, data ownership, recovery paths, and real feedback before scope is expanded.
02 / Flagship products
Flagships are selected for their proximity to real use, sustained operation, and verifiable value—not simply because the technology looks impressive.
Each product documents its actual runtime, data store, deployment evidence, and recovery path. Planned services remain clearly separated from production architecture.
Request handling, APIs, server rendering, and controlled background work.
Relational product state, catalog records, and auditable application events.
Object storage for owned media, raw snapshots, exports, and recovery evidence.
Non-secret configuration and coordination metadata. Credentials stay in approved secret stores.
Product catalog, editorial discovery, and affiliate redirect workflows running through Cloudflare Workers and D1.
// Cloudflare Worker: verified catalog response
export default {
async fetch(request: Request, env: Env) {
const products = await env.DB.prepare(
"SELECT slug, title, category FROM products WHERE status = ? LIMIT 20"
)
.bind("published")
.all();
return Response.json({
source: "birrufinds-d1",
products: products.results
});
}
};03 / How we build
Map users, problems, risks, data sources, and success criteria before choosing technology.
Define data contracts, execution permissions, failure modes, ownership, and recovery paths.
Test product flows under realistic conditions and retain outcomes as evidence and improvement input.
Run with observability, rollback, and operator intervention before expanding users or features.
04 / Operating infrastructure
Every stage has an input, owner, evidence, and completion condition so agents can continue work without turning the owner into a courier.
The brief enters as structured data.
Goals, constraints, sources, and the definition of done are set before any agent acts.
05 / Product & engineering notes
Documentation of architecture decisions, trade-offs, failures, and lessons supporting BirruLabs product development.
Bagaimana kami memecahkan masalah amnesia pada AI agent multi-sesi dengan menggabungkan JSON-RPC MCP server, Cloudflare 24/7 KV micro-vault, dan GitHub synchronization.
Bagaimana kami merancang sistem orchestration di mana satu CEO agent mendelegasikan task ke worker agent secara paralel — pelajaran dari membangun Social Media AI Manager.
Bedah arsitektur serverless edge e-commerce: bagaimana kami membangun catalog engine berlatensi <15ms di seluruh dunia dengan biaya operasional mendekati nol.
Prinsip di balik BirruHealthOS — merancang sistem yang berjalan penuh tanpa internet, lalu sync secara opsional.
06 / Product roadmap
Our portfolio separates flagships, active products, and experiments transparently. Explore the status, architecture, and available evidence for every system.
Explore All ProductsFlagship products · Active releases · Transparent experiments