GPT-6.1 Terra Cost Guide: Measure the Price of a Verified Screen Task
Estimate GPT-6.1 Terra screen-task costs without double-counting tokens, retries or outcomes. Includes a worked budget and saved-record checks.
THE ARTICLE ARCHIVE
Miles Park
Explore ideas, explanations, and practical perspectives.
OpenAI Decisions API Routing Playbook: Validate Answers Before Choosing a Queue
Validate Decisions API answers before routing: four workflow states, fixed queue IDs, stale-result guards and local failure-path tests.
Resuming Gemini 4 Argon Long Decode Without Duplicating the Response
Learn how Argon continuation keeps requests fixed, recovers stream checkpoints, avoids duplicate output and counts per-hop usage correctly.
OpenAI Decisions API Explained: Why Typed Answers Are Not Permission to Act
Understand OpenAI Decisions: predicate, choice and score, correct JSON fields, threshold tradeoffs, cache billing and application authority.
Gemini 4 Argon Overnight Coding: Why Every Autonomous Pull Request Needs Human Review
Understand Gemini 4 Argon’s overnight ADK coding case: copying, lazy imports, cache hazards, benchmark scope, and review before merge.
Gemini 4 Argon’s Million-Token Window Is a Work Budget, Not a Free Input Dump
Plan Gemini 4 Argon workloads: leave room for thinking and answers, trim input safely, and budget continuation before reviewing the result.
Voxtral 3 Voice Agents Guide: Turn Detection, Tool Execution, and Mid-Call Corrections
Understand Voxtral 3: voice pipelines, turn detection, tool placement, migration rules, and component versus managed-agent pricing.
Mercury 3 Diffusion LLM Analysis: Parallel Text Generation vs. End-to-End Task Latency
Learn how Mercury 3 refines text in parallel, why token speed differs from task latency, and how to test quality, streaming and accepted-task cost.
OpenAI Prompt-to-Voice Architecture: From Voice Description to Live GPT-Live Sessions
Understand prompt-to-voice, saved voice IDs and GPT-Live sessions through configuration, interruptions, duration costs and data-retention examples.
Liquid AI d1-ultra in Production: Fast Routing Labels Without Surrendering Action Control
Understand d1-ultra decisions: Noul, Choice and Score, image-token billing, probability checks, and safe routing with review and approval gates.
