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Everything from this series, compressed into one runnable checklist: 20 actions across entity, content, structured data, and measurement — ordered by leverage.
Real numbers: what senior embedded engineering actually costs, what drives the rate, and when a pod beats hiring. Ranges included — no "contact us for pricing".
A working MVP typically runs $30,000–$80,000 with a senior offshore team. Where the money goes, what inflates it, and the questions that shrink it.
AI proof-of-concepts run $10,000–$25,000; production agent systems $25,000–$150,000+. The pricing logic, the risk gates, and the questions that keep budgets honest.
Retrieval engines quote sources. The content shapes that earn citations, the ones that never do, and the publishing habits that compound.
You cannot manage what you cannot see. A practical measurement framework: the four metrics, the prompt panel method, and why single checks lie.
Your SEO instincts are half right for AI search. Which halves transfer, which actively hurt, and where the two disciplines pull in opposite directions.
Search is becoming answers. AEO is the discipline of making sure AI assistants know your brand, describe it accurately, and recommend it — measurably.
JSON-LD is how you state facts about your business in a form machines cannot misread. The schema types worth shipping, in priority order, and the mistakes that backfire.
The gap between an impressive AI demo and a dependable production agent is wide. Here is how we cross it, project after project.
Tenancy is the decision you make once and live with forever. A field guide to getting it right the first time.
Most cloud bills contain thirty to fifty percent waste. Finding it is a process, not a heroic act.
AI features fail in the interface more often than in the model. Design patterns that turn skepticism into adoption.
Renting individual developers optimizes for utilization. Dedicated pods optimize for outcomes. The difference compounds.
Every team agrees performance matters. Few make it a number someone can fail. That is the whole trick.
Ninety days is enough to put real software in front of real users — if you spend the days on the right things.
