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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 · Featuredprompt engineering7 min read

Why Deepfake Detection Won't Restore Trust

Discover why deepfake detection fails when trust breaks down, and what provenance, policy, and human judgment must do next. Read the full guide.

RephraseMay 6, 2026Read the essay →
Recently  ·  July 2026
  1. № 02

    What EU AI Act Article 50(2) Requires

    Learn what EU AI Act Article 50(2) really requires for AI images and video by August 2026, and what teams must ship now. Read the full guide.

    ai news
    Rephrase{{ $now.format('MMMM D, YYYY') }}  ·  7 min read
  2. № 03

    How to Prompt Kling 3.0 to Hit the Beat

    Learn how to write beat-matched prompts for Kling 3.0 using a timeline-script pattern that improves audio sync and pacing. See examples inside.

    video generation
    RephraseMay 6, 2026  ·  7 min read
  3. № 04

    When Negative Prompts Still Work in 2026

    Learn when negative prompts still improve image and video outputs, and why they often hurt reasoning models in 2026. See examples inside.

    prompt tips
    RephraseMay 5, 2026  ·  7 min read
  4. № 05

    Why Prompt Versioning Needs Code Review

    Learn how to version prompts like production code with reviews, evals, and rollbacks. Build a safer prompt workflow for AI apps. Try free.

    prompt engineering
    RephraseMay 5, 2026  ·  7 min read
  5. № 06

    Why GPT-5.5 Prompts Use Roles Again

    Discover why GPT-5.5 brings back role definitions, and how OpenAI's latest prompting guidance flips recent best practices. See examples inside.

    prompt engineering
    RephraseMay 5, 2026  ·  7 min read
  6. № 07

    Why Tunable Inference Is the New Default

    Discover why configurable reasoning effort is reshaping AI inference, and how Mistral Small 4 signals the new default pattern. Read the full guide.

    prompt engineering
    RephraseMay 5, 2026  ·  7 min read
  7. № 08

    Llama 4 Scout vs RAG for Codebases

    Learn when Llama 4 Scout's 10M-token context beats RAG for codebase tasks, and where retrieval still wins on cost, control, and scale. Try free.

    ai tools
    RephraseMay 5, 2026  ·  8 min read
  8. № 09

    Why GLM-5.1 Changes Open Model Strategy

    Discover what GLM-5.1's SWE-Bench Pro lead and MIT license mean for your AI stack, deployment choices, and vendor risk. Read the full guide.

    ai tools
    RephraseMay 5, 2026  ·  8 min read
  9. № 10

    Why Gemma 4 31B Changes Multimodal Apps

    Discover why Gemma 4 31B marks an open-weight shift for multimodal apps, from image input to local deployment economics. Read the full guide.

    ai tools
    RephraseMay 5, 2026  ·  7 min read
  10. № 11

    How to Cut Multimodal Token Costs

    Learn how to cut multimodal token costs for vision and audio apps by 40-80% with routing, compression, and guardrails. See examples inside.

    prompt engineering
    RephraseMay 5, 2026  ·  8 min read
  11. № 12

    How GLM-4.6V Sees UIs Like an Agent

    Learn how GLM-4.6V-style vision-first agents use screenshots directly for tool use, not OCR pipelines. See prompt examples and workflows. Try free.

    prompt engineering
    RephraseMay 5, 2026  ·  8 min read
Page 13 of 51
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