AI Dev Tools — The Crazyrouter Podcast

Episoder

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  EP171: AI API Governance Reviews — Keep Fast-Moving Systems Accountable 28.09.2026 4min

  A practical guide to AI API governance reviews: inventory changes, check risk, verify controls, document decisions, and keep oversight useful without blocking delivery.
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  EP170: AI API Usage Statements — Make Every Charge Explainable 27.09.2026 4min

  A practical guide to AI API usage statements: reconcile requests, tokens, routes, retries, and invoices so customers and teams can understand every charge.
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  EP169: AI API Rate Limits — Build Fair, Resilient Traffic Control 26.09.2026 4min

  A practical guide to AI API rate limits: distinguish quotas from concurrency, use bounded backoff, prioritize traffic fairly, protect budgets, and avoid retry storms.
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  EP168: AI API Budget Alerts — Turn Spend Surprises Into Early Signals 25.09.2026 4min

  A practical guide to AI API budget alerts: set useful thresholds, detect anomalies, separate expected growth from waste, and connect alerts to safe actions.
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  EP167: AI API Capacity Planning — Scale Before the Queue Becomes the Product 24.09.2026 4min

  A practical guide to AI API capacity planning: forecast demand, budget concurrency, protect latency, size queues, and preserve reliable service during bursts.
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  EP166: AI API Quality Gates — Stop Bad Outputs Before They Reach Users 23.09.2026 4min

  A practical guide to AI API quality gates: validate structure, ground answers, check tool actions, measure accepted results, and fail safely when outputs are not ready.
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  EP165: AI API Incident Response — Recover Fast Without Losing Trust 22.09.2026 4min

  A practical guide to AI API incident response: detect user-visible failures, coordinate diagnosis, control fallback traffic, communicate clearly, and turn incidents into durable improvements.
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  EP164: AI API Change Management — Ship Model Updates Without Breaking Workflows 21.09.2026 4min

  A practical guide to managing AI API changes: map dependencies, test behavior, stage rollouts, communicate risk, and keep rollback fast when models or providers change.
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  EP163: AI API Cost Attribution — Know What Each Workflow Really Costs 20.09.2026 4min

  A practical guide to attributing AI API spend across teams, tenants, models, and workflows without losing the operational context behind each request.
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  EP162: Human-in-the-Loop AI APIs — Escalate the Right Decisions 19.09.2026 4min

  A practical guide to human-in-the-loop AI APIs: define review thresholds, package evidence, manage queues, prevent duplicate actions, and learn from human decisions.
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  EP161: AI API Key Management — Rotate Credentials Without Downtime 18.09.2026 4min

  A practical guide to AI API key management: scope credentials, rotate them safely, detect leaks, preserve service continuity, and make secret ownership auditable.
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  EP160: Multi-Tenant AI APIs — Isolate Usage, Limits, and Reliability 17.09.2026 5min

  A practical guide to multi-tenant AI APIs: isolate data, quotas, concurrency, cost, and observability so one customer cannot degrade another customer's experience.
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  EP159: AI API Developer Experience — Make the First Integration Fast 16.09.2026 5min

  A practical guide to AI API developer experience: design clear onboarding, SDKs, examples, errors, observability, and migration paths that help teams reach a reliable first integration quickly.
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  EP158: Voice AI APIs — Build Reliable Speech-to-Text and Text-to-Speech Flows 15.09.2026 4min

  A practical guide to voice AI APIs: handle audio formats, streaming, transcription quality, synthesis latency, privacy, retries, and reliable audio delivery in production.
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  EP157: AI API Safety Filters — Protect Users Without Blocking Useful Work 14.09.2026 4min

  A practical guide to AI API safety filtering: define risk policies, classify inputs and outputs, handle uncertainty, review edge cases, and keep safeguards observable and adaptable.
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  EP156: AI API Drift — Detect Quality Changes Before Users Do 13.09.2026 4min

  A practical guide to detecting AI API drift: monitor quality, latency, routing, prompts, and provider behavior over time, then investigate and respond before users notice.
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  EP155: AI API Local Development — Test Integrations Before Production 12.09.2026 4min

  A practical guide to local AI API development: use mock providers, replay fixtures, test failure paths, protect secrets, and promote integrations to production with confidence.
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  EP154: AI Tool Calling — Make Function Calls Safe and Reliable 11.09.2026 4min

  A practical guide to reliable AI tool calling: design precise schemas, validate arguments, enforce permissions, handle failures, prevent duplicate actions, and audit every call.
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  EP153: Production RAG APIs — Build Retrieval That Users Can Trust 10.09.2026 4min

  A practical guide to production RAG APIs: prepare documents, retrieve relevant evidence, enforce permissions, cite sources, measure groundedness, and recover from stale indexes.
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  EP152: Async AI APIs — Make Webhooks Reliable for Long-Running Jobs 09.09.2026 4min

  A practical guide to reliable asynchronous AI APIs: design webhook contracts, sign events, handle duplicates, retry safely, track job state, and make long-running results trustworthy.