Articles
Practical ideasfor building with AI.
AI Pod Pricing: What Each Tier Includes and How to Compare Options
What the published AI Pod tiers include, what drives the final scope, and how to compare a Pod with hiring, agencies, or freelancers by total cost.
3 min readDelivery modelFrom AI Prototype to Production: A Readiness Checklist
A demo is not production software. A practical readiness checklist: requirements, tests, security, monitoring, human review, cost, and rollback.
3 min readAI trainingFrom Prompts to Method: How to Use AI with Quality
Why good prompts are not enough and what a method adds: success criteria, context, examples, tests, human review and what to automate.
3 min readNearshoreHow Much Time-Zone Overlap Do You Need with a Nearshore Team?
How to calculate working-hour overlap between Mexico and your US time zone, how daylight saving changes it, and how many shared hours each kind of work needs.
3 min readAutomationHow to Choose Your First Workflow to Automate with AI
A practical way to pick the first workflow to automate with AI: seven criteria, a simple scoring method, what to measure, and which workflows to avoid first.
3 min readAutomationHow to Measure the Results of an AI Automation Without Inflated Claims
How to tell whether an AI automation works: baseline, quality checks, full cost including review, adoption, and a clear rule to continue, revise, or stop.
3 min readNearshoreHow to Run a 2-Week Trial with a Nearshore Engineering Team
A practical guide to testing a nearshore engineering team on one bounded task: how to choose the task, write the scope, set access, and decide in two weeks.
3 min readQualityHow to Test AI-Generated Code Before It Reaches Production
AI writes code fast, but speed is not quality. How to test and review AI-generated code: tests first, small changes, CI gates, and human review.
3 min readAI agentsHuman in the Loop for AI Agents: Where to Put Approval Gates
Where should a person approve what an AI agent does? Classify actions by risk, design approval gates, limit permissions, and avoid rubber-stamping.
3 min readAI trainingHow to Learn AI as a Professional: A Four-Week Path
A practical four-week path to move from casual AI use to a method you can repeat, built around one real project: goal, first version, testing, and automation.
3 min readModernizationHow to Modernize Legacy Software Without a Full Rewrite
Why big-bang rewrites fail and how to modernize legacy systems step by step: align outcomes, find seams, replace incrementally, and keep production safe.
3 min readDelivery modelWhat Is an AI Pod and How Does It Differ from a Traditional Team?
An AI Pod is a managed unit of senior engineers and AI agents built around one measurable goal. How it works and how it differs from a traditional team.
3 min readNearshoreNearshore vs. Offshore Software Development: Why Mexico
What nearshore and offshore mean, how they differ in time zones, cost, and collaboration, when each fits, and why teams look to Mexico.
4 min readDelivery modelWhat Is a Forward Deployed Engineer?
A Forward Deployed Engineer works inside the client's workflows to own context and ship working solutions. How the role works and when it fits.
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