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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 · Featuredvideo generation8 min read

Why Video Models Still Hit a 4K Ceiling

Learn why 2026 video models still struggle with true 4K and reliable audio control, and what research says changes next. Read the full guide.

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

    How to Cut Video Generation Spend by 90%

    Learn how to cut video generation spend by 90% with the 5-10-1 iteration rule and still ship polished results. See examples inside.

    video generation
    RephraseMay 1, 2026  ·  8 min read
  2. № 03

    Why Image Provenance Still Isn't Solved

    Learn how SynthID and C2PA made image provenance default, where they work, and what gaps remain in AI watermarking. See examples inside.

    image generation
    RephraseMay 1, 2026  ·  8 min read
  3. № 04

    How Gemini's Auto-Context Changes Image UX

    Learn how Gemini's auto-context image pipeline affects privacy, trust, and UX design in personal AI systems. See the tradeoffs and examples inside.

    image generation
    RephraseMay 1, 2026  ·  7 min read
  4. № 05

    How to Use Cinematography Terms in Prompts

    Learn how to use cinematography vocabulary in AI video prompts for Veo, Sora, and Kling so shots land cleaner and more intentional. Try free.

    video generation
    RephraseApril 30, 2026  ·  7 min read
  5. № 06

    Why Prompt Adherence Beats Visual Fidelity

    Discover why prompt adherence now matters more than visual fidelity for image and video models, and how to prompt for it better. Try free.

    prompt engineering
    RephraseApril 30, 2026  ·  7 min read
  6. № 07

    Why CoT Gave Way to Prompt Frameworks

    Discover why advanced prompt frameworks beat chain-of-thought in 2026, and how to use RSIP, CAD, CHI, MPS, and CCP better. See examples inside.

    prompt engineering
    RephraseApril 30, 2026  ·  8 min read
  7. № 08

    How Uncertainty Markers Improve Reasoning

    Learn how uncertainty markers in prompts improve LLM reasoning accuracy, where the evidence is strong, and how to apply it well. See examples inside.

    prompt engineering
    RephraseApril 30, 2026  ·  8 min read
  8. № 09

    Why Causal World Models Beat Sora

    Discover why causal world models outperform Sora-style video generation on physics and planning tasks, with examples and prompt tips. Read on.

    prompt engineering
    RephraseApril 30, 2026  ·  8 min read
  9. № 10

    World Models vs Video Generation in 2026

    Discover how world models differ from video generation across five systems: Genie 3, Marble, Happy Oyster, GWM-1, and Cosmos. Read the full guide.

    ai tools
    RephraseApril 28, 2026  ·  8 min read
  10. № 11

    What Genie Means for AI Video

    Discover what real-time world models change for AI video, from passive clips to interactive simulation, and where the tech still breaks. Read the full guide.

    video generation
    RephraseApril 28, 2026  ·  7 min read
  11. № 12

    How Veo 3.1 Changed Video Prompting

    Learn how Veo 3.1 shifts video prompting from text-only guesswork to reference-driven workflows, with examples and a practical playbook. Try free.

    video generation
    RephraseApril 27, 2026  ·  8 min read
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