Tutorials Opus 5 Effort Router: Auto-Pick Cost vs Capability
Route each task to the right Claude Opus 5 effort level and cut your token bill.
How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
Tutorials Route each task to the right Claude Opus 5 effort level and cut your token bill.
Tutorials Load tools just-in-time in Kimi K3's agent loop to shrink prompts and sharpen tool choice.
Tutorials kimi-k3 is not a drop-in swap. Map the params right and dodge the trap that breaks tool loops.
Tutorials Point the OpenAI SDK at Meta's agent model, add tools, let it self-manage a 1M-token context.
Tutorials Use reasoning.context to reuse GPT-5.6's chain of thought across turns and cut redundant tokens.
Tutorials Reproduce GPT-Live's full-duplex voice and background delegation using the GA Realtime API.
Tutorials Structure prompts, set prompt_cache_retention, and read cached_tokens to slash GPT-5.6 input costs.
Tutorials Use GPT-5.6's Responses API so the model writes JavaScript to run your tools in one call.
Tutorials Use Grok 4.5's server-side X Search on the xAI API to build a cited, real-time trend agent.
Tutorials Build an agentic Grok 4.5 tool loop in Python: route reasoning_effort and cache to slash cost.
Machine Learning Train a linear probe on hidden activations and steer output, the method behind Anthropic's J-Lens.
Tutorials Use Anthropic's compact-2026-01-12 beta so long agentic loops survive past the 200K context window.