Dawell Service · Platform

11 AX cases,
built on one shared foundation

Investment, logistics, commerce, tax, healthcare, HR, content — no matter the industry, we don't rebuild the system from scratch for every case. Dawell Service FDE assembles a shared skeleton (standarda-template) and proven components (standarda-core) with dev automation tools, then ships them to the server infrastructure (the garage). That's how an AX cycle that once took months now takes 1–2 weeks.

🧩 Reusable shared components ⚙️ Idea → deploy in a few commands 🖥️ Multi-tenant server infrastructure
11+Cases built on the same foundation
4Components (skeleton · parts · tools · garage)
1–2 wksDiscovery → development → deploy cycle
2 servers · 40+Projects running concurrently
Why a Shared Foundation

We don't build every case from scratch

Auth, permissions, LLM integration, document parsing, deployment, backups — every project needs them. Building them anew each time is slow, and quality drifts from project to project.

Without a shared foundation
  • Rewrite login, permissions, and error handling from zero on every project
  • Re-glue LLM and Google API integrations case by case
  • Hand-configure server setup, domains, certificates, and backups every time
  • Every handoff means relearning a new code structure
On a shared foundation
  • Generate the skeleton and auth, permissions, and utilities are already there
  • Plug in the components (core) with pip and LLM/API support is instantly wired
  • One command auto-configures server, domain, HTTPS, and backups
  • Every case shares the same structure → anyone can take over and extend it instantly
The Analogy

Like building a car — skeleton + parts = finished vehicle

We don't carve each car whole from scratch. We assemble proven parts onto a proven skeleton, and roll it out of a well-equipped garage.

Illustration of a car chassis (skeleton)
Skeleton · Chassis

standarda-template

The frame every car rides on

A shared Django skeleton — auth, permissions, utilities, and tests already wired into the frame.

+
Illustration of car parts
Parts · Utilities

standarda-core

Installed with a single pip

A bundle of proven shared components — LLM integration, Google APIs, document parsing.

=
Illustration of a finished car
Finished car · Customer product

AX Agent

The service shipped to the customer

An automation agent built by assembling skeleton + parts, cutting real work for the customer.

“And all of this assembly happens in a well-equipped garage — the server infrastructure.”

A workshop that has everything from dev server setup to domains, HTTPS, and backups, so the car we build ships (deploys) right on the spot.

The Components

The systems that make up the foundation — and the people who wield them

Four systems (skeleton · parts · tools · garage), plus the education that gets the whole team using that foundation equally well. Click any item for the details.

The Cycle

Discovery → development → deploy → learning, one virtuous cycle

The four systems aren't parts working in isolation — they mesh into a single cycle. Lessons from operations feed back to improve the skeleton and parts.

Repeated patterns and errors learned in operations flow back into core & template → a virtuous cycle where the next project is even faster STEP 1 · Discovery Onboarder Customer work into dev specs STEP 2 · Development core + template Assemble parts onto the skeleton STEP 3 · Deploy Server infra Ship instantly with domain & HTTPS STEP 4 · Operate & learn Code sync Collect patterns & lessons
A virtuous cycle where each component meshes with the next — the more we develop, the better the skeleton and parts get, and the faster the next case becomes.
Why It Matters

What unifying on one foundation delivers

01

Speed

No rewriting auth, integrations, and deployment every time — discovery through deploy compresses to 1–2 weeks.

02

Reuse

Add a feature to the components (core) once and every project can use it instantly.

03

Portability

Every case shares the same structure, so when the assigned FDE changes, they understand and take over another project immediately.

04

Reliability

Running on a proven skeleton and parts with 3-layer backups, customer services stay safely up around the clock.

05

Consistent quality

AI generates code against unified conventions, so quality stays steady even across different projects.

06

Learning efficiency

With a single stack, onboarding is fast and lessons from operations spread across the whole foundation.