How we think, on a fictional stack.
We haven't shipped a named client yet — so instead of a fake case study, here's the method itself. A walkthrough of acme-stack.example: a made-up multi-site business with a very real-looking mess. Once a live engagement ships, a genuine case study replaces this.
$ clearcrest audit https://acme-stack.example
▸ crawling properties............... 4 sites found
shop.acme · go.acme · acme.io · legacy.acme
▸ checkout paths................... 3 disjoint providers ⚠
▸ app shells (unconfigured)........ 2 detected ⚠
▸ brand integrity................. 1 mismatch ⚠
▸ unified carts................... 0 ⚠
✗ 4 systems fragmented
$ clearcrest plan --unify
▸ proposing single system.......... 1 hub · 1 checkout
▸ consolidating data model......... 1 source of truth
✓ blueprint ready → ./plan/system.map
Before / after
Four fragments into one system.
Before
- 4 separate marketing sites, 4 codebases
- 3 checkout providers, 3 sets of fees
- 2 half-built app shells, no auth
- Brand drift across every property
- Customer data in 5 places, none agreeing
→
After
- 1 hub, one design system, one codebase
- 1 checkout, one set of payment rails
- 1 app with real auth and billing
- Consistent brand, component-driven
- 1 source of truth, synced everywhere
What the audit measures
Every property, scored on the same axes.
Axis 01
Fragmentation
How many systems do the same job, and how badly do they disagree?
Axis 02
Completion
What's shipped, what's a stub, and what's quietly broken in production?
Axis 03
Maintainability
Could a new engineer keep this alive — or does it depend on one person's memory?
Axis 04
Observability
When something breaks, does anyone know? Are there metrics, logs, alerts — or silence?
Want this run on your real stack?
The first audit is free. You keep the report either way.
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