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Hosted by Crazyrouter · 🇺🇸 US · EN · 102 episodes
Established thought leaders with verified media credentials.
Your weekly breakdown of AI development tools, API gateways, model pricing, and building with GPT, Claude, Gemini, and DeepSeek. Hosted by Crazyrouter — one API key for 627+ AI models.
Crazyrouter hosts AI Dev Tools — The Crazyrouter Podcast, a technology show with 102 episodes published.
How to make AI API workflows safe under retries: idempotency keys, request state, streaming recovery, tool side effects, and billing reconciliation.
A 100-episode retrospective on AI API gateways: model access, pricing, routing, validation, observability, content workflows, and the reliability lessons that matter in production.
Why AI API pricing should be measured by cost per accepted result, including retries, validation, fallback routing, latency, and human repair.
A practical architecture guide for reliable AI API gateways: deadlines, retries, token budgets, streaming, validation, fallback routing, and observability.
A practical guide to measuring AI API reliability beyond HTTP 200: incomplete outputs, retries, validation, fallback routing, and cost per accepted result.
A practical benchmark-driven comparison of Kimi K3 and GLM-5.2 across university-level math, physics, and production Python, with a focus on correctness, output completeness, latency, and workflow routing.
A practical comparison of Kimi K3 and Claude Fable 5 for coding, long-context work, structured output, latency, and cost-aware AI application routing.
A practical episode on designing AI API fallbacks as a first-class product feature: routing rules, compatibility checks, retry budgets, observability, cost controls, and user-visible behavior when a preferred model is un
A practical episode about turning vision model benchmarks into production decisions: accuracy, latency, tail latency, cost per successful image, media handling, usage signals, failure modes, and user-facing routing strat
A practical episode about image understanding APIs, URL image inputs, Gemini and Claude inline media conversion, Qwen and OpenAI-style URL passthrough, and why production AI gateways need media-aware routing instead of j
A practical episode about DeepSeek official concurrency limits, cloud-provider TPM and RPM quotas, and why AI gateways need structured capacity routing instead of a single rate-limit number.
A practical episode about why AI operations dashboards should use service accounts for GA4 and Search Console, how expired OAuth refresh tokens break growth reports, and why analytics credentials are part of production i
A practical episode about the reliability work behind AI API products: regional base URLs, routing, failover policy, balance-related pauses, support clarity, and turning repeated support cases into better developer infra
A practical episode about using coding agents for prediction workflows: deterministic probability models, model-written explanations, JSON validation, and why AI apps need evidence checks instead of vibe-based answers.
A practical episode about why model quality includes payload compatibility, endpoint fit, retries, and real workflow success rather than only benchmark headlines.
A practical episode on how a Claude Code guide repository can become developer growth infrastructure: correct base URL rules, UTM discipline, searchable docs, setup scripts, FAQs, and multi-platform content distribution
A practical episode on why GPT-5-style reasoning models need cleaner request payloads, how to handle max_tokens versus max_completion_tokens, when to use reasoning_effort and verbosity, and why config-only Claude Code on
Image generation pricing is misleading if teams only compare cost per request. This episode explains cost per accepted image, why model demos are not enough, and how developers can use a repeatable test matrix across GPT
One-click setup scripts are more than convenience. This episode explains how WorkBuddy-style custom model configuration, local models.json files, Base URL normalization, backups, API key handling, and troubleshooting che
API Base URL mistakes are one of the most common AI developer onboarding failures. This episode explains why missing /v1, wrong environment variables, UTM parameters in API endpoints, region endpoints, and unclear error
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AI Dev Tools — The Crazyrouter Podcast is hosted by Crazyrouter. The show is categorised under technology and has published 102 episodes.
AI Dev Tools — The Crazyrouter Podcast has published 102 episodes.
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