Podcast Episodes
Back to SearchEP130: AI API Cost Control — Optimize the Whole Workflow, Not Just Token Prices
A practical cost-control guide for AI API products: measure cost per successful task, reduce waste, route by difficulty, control context, and protect…
1 month, 2 weeks ago
EP129: AI API Reliability — Design for Retries, Timeouts, and Provider Failures
A practical reliability playbook for AI API applications: deadlines, retries, fallbacks, idempotency, streaming recovery, and the metrics that reveal…
1 month, 2 weeks ago
EP128: AI API Testing — Build Regression Checks Before Users Find Bugs
A practical guide to testing AI API applications: build representative cases, validate structured outputs, test tools and fallbacks, and catch regres…
1 month, 2 weeks ago
EP127: AI API Observability — Trace Quality, Cost, and Reliability
A practical guide to AI API observability: trace requests across routes, connect quality to cost, detect regressions, and debug failures without expo…
1 month, 2 weeks ago
EP126: AI API Security — Keys, Tenants, Logs, and Safe Operations
A practical guide to securing AI API applications: protect keys, isolate tenants, redact logs, control spend, and build safer operational workflows.
1 month, 2 weeks ago
EP125: Building a Multi-Model AI Stack — Architecture, Governance, and Cost
A practical guide to building a multi-model AI stack: separate access from application logic, govern providers, route by task, and keep cost and reli…
1 month, 3 weeks ago
EP124: Prompt Caching for AI APIs — Cut Cost Without Cutting Quality
A practical guide to prompt caching for AI APIs: identify reusable prefixes, measure real savings, manage invalidation and privacy, and combine cachi…
1 month, 3 weeks ago
EP123: Choosing AI Models by Task — A Practical Routing Playbook
A practical playbook for choosing AI models by task: classify workloads, match capability to constraints, route by quality and cost, and continuously…
1 month, 3 weeks ago
EP122: AI API Reliability — Retries, Fallbacks, and Timeouts That Actually Work
A practical guide to making AI API applications dependable in production: set realistic timeouts, retry only safe failures, design provider fallbacks…
1 month, 3 weeks ago
EP121: AI API Evaluation in Production — Measure What Users Actually Need
A practical guide to evaluating AI API systems in production: define task outcomes, build representative datasets, combine human and automated checks…
1 month, 3 weeks ago