REST, GraphQL, or MCP? Connect AI Products Safely
Prevent leaked credentials, over-broad access, tenant crossover, and brittle provider dependencies.
READ THE FIELD GUIDE ↗Practical guides for the decisions that move a startup product from promising to dependable: design partners, launch readiness, AI costs, enterprise customers, reliability, and team scale.
Prevent leaked credentials, over-broad access, tenant crossover, and brittle provider dependencies.
READ THE FIELD GUIDE ↗Your demo works. Now check what happens when tools time out, retrieval is wrong, or an agent repeats an action.
READ THE FIELD GUIDE ↗Separate the risks to fix before the next growth step from expensive infrastructure you can safely defer.
READ THE FIELD GUIDE ↗An enterprise contract changes the consequences of shared infrastructure. Review tenant boundaries, authorization, support access, and noisy-neighbor risks before customer data or trust is exposed.
READ THE FIELD GUIDE ↗Make “done” testable; surface dependencies and exclusions before they turn into change orders.
READ THE FIELD GUIDE ↗A low model-call price can hide expensive retries, long context, retrieval, and human correction. Build a cost model around successful user outcomes before usage scales or gross margin is committed.
READ THE FIELD GUIDE ↗A release can pass QA and still fail customers because no one owns rollback, a migration is irreversible, or support cannot explain degraded behavior. Use this review to find those gaps before launch day.
READ THE FIELD GUIDE ↗A polished diagram cannot answer whether the product recovers from failure, protects customer data, or depends on one person. Prepare evidence, owners, and an honest remediation plan before diligence compresses the timeline.
READ THE FIELD GUIDE ↗A design partner can expose the right problem and still ask for the wrong product shape. Learn how to turn urgent customer requests into reusable capabilities without building a separate product for every account.
READ THE FIELD GUIDE ↗Prioritize product differentiation without ignoring total cost, control, integration risk, and lock-in.
READ THE FIELD GUIDE ↗Imports, payments, AI tasks, and provider syncs can outlive a browser request. Design the job’s state and recovery path before a timeout becomes a duplicate charge, missing result, or support mystery.
READ THE FIELD GUIDE ↗A database change that works on a sample can still lock production, lose writes, or strand a rollback. Make migrations observable and reversible enough to protect customer data and delivery commitments.
READ THE FIELD GUIDE ↗Small teams need enough production evidence to locate user harm without building a dashboard museum. Start with critical workflows, useful signals, and alerts that have a named response.
READ THE FIELD GUIDE ↗A model or prompt update can change outputs even when the interface is untouched. Use task-based evaluation, rollout gates, fallbacks, and monitoring to catch behavior changes before customers do.
READ THE FIELD GUIDE ↗Resolve duplicate writes, stale data, sync conflicts, and the user experience when a network disappears mid-task.
READ THE FIELD GUIDE ↗Hiring adds capacity, but unclear ownership and shared release bottlenecks can make a larger team slower. Find the coordination costs early and change boundaries only where the work supports it.
READ THE FIELD GUIDE ↗We’ll talk through the constraints, not hand you a generic checklist.