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Field notes.

Issue 51 · July 2026Prompt engineering, quietly

Writing about the craft of prompting, the shape of agents, and the small engineering decisions that make models useful in real work.

№ 01 · Featuredtutorials8 min read

How to Fix DeepSeek V4 reasoning_content Error

Learn how to fix the DeepSeek V4 reasoning_content 400 error during migration, especially in multi-turn tool chats. See examples inside.

RephraseMay 24, 2026Read the essay →
Recently  ·  July 2026
  1. № 02

    Why AI Labs Are Leaving Apache 2.0

    Discover why Mistral, Kimi, and Qwen are drifting from Apache 2.0 to modified MIT-style licenses, and what that means for builders. Read on.

    ai news
    RephraseMay 24, 2026  ·  7 min read
  2. № 03

    Why Mistral Killed Three Models at Once

    Discover what Mistral Medium 3.5, Devstral 2, and Magistral reveal about model consolidation, tradeoffs, and product strategy. Read the full guide.

    ai tools
    RephraseMay 24, 2026  ·  8 min read
  3. № 04

    How to Prompt Mistral Medium 3.5

    Learn how to write better prompts for Mistral Medium 3.5 and why its merged 128B design changes prompting for coding and reasoning. Try free.

    prompt tips
    RephraseMay 24, 2026  ·  8 min read
  4. № 05

    Why Cost Per Task Beats Cost Per Token

    Discover why cost per completed task is a better AI metric than cost per token in 2026, with research-backed examples and practical guidance. Try free.

    prompt engineering
    RephraseMay 23, 2026  ·  8 min read
  5. № 06

    Why AI Routing Is Now a Product Layer

    Learn why AI routing is now core infrastructure, not optional plumbing, and how multi-model gateways cut cost, latency, and risk. Read the full guide.

    prompt engineering
    RephraseMay 23, 2026  ·  7 min read
  6. № 07

    Mercor Breach and Claude Mythos Access

    Discover why Anthropic confirmed Claude Mythos was accessed through the Mercor data breach, what that signal means, and what to watch next. Read on.

    ai news
    RephraseMay 23, 2026  ·  6 min read
  7. № 08

    Why Agents Need Reasoning Reuse

    Learn why reasoning reuse beats bigger context for multi-turn agents, and how preserve_thinking reduces drift, cost, and repeated mistakes. Read on.

    prompt engineering
    RephraseMay 23, 2026  ·  7 min read
  8. № 09

    Why 1M Context Still Breaks

    Discover how Opus 4.7, DeepSeek V4, and Qwen 3.6 Plus handle 1M-token recall, and where long-context memory still fails. See examples inside.

    ai tools
    RephraseMay 23, 2026  ·  8 min read
  9. № 10

    What Mythos Solving 32 Steps Really Means

    Discover what Mythos solving a 32-step cyber range actually signals for AI security, agent design, and risk. See the bigger picture inside.

    ai news
    RephraseMay 22, 2026  ·  8 min read
  10. № 11

    Which Coding Benchmark Predicts Production?

    Discover whether SWE-Bench Pro, Terminal-Bench 2.0, or SciCode best predicts production quality for coding agents. Read the full guide.

    ai tools
    RephraseMay 22, 2026  ·  8 min read
  11. № 12

    Why Anthropic Holds Mythos Back

    Discover why Anthropic withholds Mythos while OpenAI ships widely, and what this split reveals about AI risk, product strategy, and trust. Try free.

    ai tools
    RephraseMay 22, 2026  ·  7 min read
Page 9 of 51
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