Case studies
Engineering Case Studies
Proof across product contexts where
engineering decisions carry real business responsibility.
engineering decisions carry real business responsibility.
Each context comes with different constraints, risks,
and decision patterns. Choose the one closest to your product.
and decision patterns. Choose the one closest to your product.
01
AI / SaaS Products
AI workflows where the challenge is moving from experimentation to reliable production use.Evaluation, observability, rollout, and ownership define whether AI is shippable and worth operating.
Get Energy: B2B energy platform
- Thin slice to production with acceptance criteria
LLM observability and incident response
- AI agent for engineering visibility, recaps, and guarded operational assistance
RAG in production with cost and latency control
- AI weekly meal planning with retrieval over internal menu data
02
eCommerce & Retail Platforms
Commerce platforms facing growth limits, replatforming decisions,and performance risk under revenue pressure. Ownership and release discipline define operating cost.
Phased replatforming without downtime
- Replatforming migration, uptime and
cutover responsibility under live revenue pressure
Headless implemented with operating cost control
- Headless commerce, integration ownership and operating cost accountability
Magento legacy to controlled migration plan
- ERP CRM PIM integrations, data correctness ownership and incident accountability
03
Web3 & Crypto Products
Products operating under irreversible financial, custody, and security risk.Architecture directly affects custody, liquidity mechanics, user trust, and the cost of intervention.
How to use these
case studies
•Case studies describe constraints, decisions, and responsibility boundaries
•The goal is to make trade-offs visible, not to claim outcomes
•Pick a context hub to see the full set and deep dives