System-to-system sync
Keeping records consistent between CRM, billing, support and internal databases without manual re-entry.
The connective tissue between the tools you already pay for.
n8n workflows, webhook endpoints and typed API clients that move data between your systems reliably — with retries, idempotency and logs you can read.
In this stack
The stack
Written as a reason rather than a feature list, because the reason is what tells you whether it applies to your project.
Self-hosted or cloud. Our default for workflow automation when logic should stay visible and editable by your team.
Signature-verified endpoints with idempotency keys, so a duplicate delivery does not duplicate the effect.
Typed wrappers with retries, timeouts and backoff instead of bare HTTP calls scattered through the code.
Checkout, invoices and webhook handling, with payment state reconciled against your own records.
Postgres, authentication, storage and realtime, with row-level security policies written explicitly.
Redis and database-backed queues for work that must survive restarts and be replayable.
Cron-style runs built to be idempotent, so a missed window can be safely re-run.
Correlation IDs across steps, so one failed run can be traced end to end.
Applied
The kinds of systems this area of the stack is actually used to build.
Keeping records consistent between CRM, billing, support and internal databases without manual re-entry.
A form submission, payment or status change triggering the rest of the process automatically.
Scheduled collection and transformation into the dashboard your team already looks at.
Checkout, invoicing and reconciliation wired to your own data model with webhook-driven state.
Where it is applied
Support agents, document processing, lead qualification and multi-step workflows — built on retrieval over your own content, with evaluation and escalation designed in.
02FastAPI services, data-validation layers and automated test suites — Python backends built to be read, extended and trusted by whoever maintains them next.
03Custom Model Context Protocol servers that expose your data and actions as typed tools — with authentication, scoped permissions and audit logging built in from the start.
Also in our stack
The language most of our backend work is written in.
Three tools that make a Python API predictable.
Server-rendered by default, interactive where it matters.
Model calls are the easy part. The engineering is around them.
Tell us what you are building and where it is getting difficult. You will get a straight technical answer before any commercial conversation.