Rephrase LogoRephrase Logo
FeaturesHow it WorksPricingGalleryDocsBlog
Rephrase LogoRephrase Logo

Better prompts. One click. In any app. Save 30-60 minutes a day on prompt iterations.

Rephrase on Product HuntRephrase on Product Hunt

Product

  • Features
  • Pricing
  • Download for macOS

Use Cases

  • AI Creators
  • Researchers
  • Developers
  • Image to Prompt

Resources

  • Documentation
  • About

Legal

  • Privacy
  • Terms
  • Refund Policy

Ask AI about Rephrase

ChatGPTClaudePerplexity

© 2026 Rephrase-it. All rights reserved.

Available for macOS 13.0+

All product names, logos, and trademarks are property of their respective owners. Rephrase is not affiliated with or endorsed by any of the companies mentioned.

Field notes.

Issue 44 · May 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 · Featuredai news6 min read

Why GPT-5.5 Instant Became ChatGPT Default

Discover why OpenAI made GPT-5.5 Instant the new ChatGPT default after GPT-4o backlash, and what it means for users now. Read the full guide.

RephraseMay 21, 2026Read the essay →
Recently  ·  May 2026
  1. № 02

    Why OpenAI Delayed GPT-5.5 API Access

    Discover why OpenAI held back GPT-5.5 API access for 24 hours after launch, and what that says about agentic AI rollout risk. Read the full guide.

    ai news
    RephraseMay 21, 2026  ·  7 min read
  2. № 03

    How to Prompt Kimi K2.6 for Agent Swarms

    Learn how to prompt Kimi K2.6 for agent swarms, long runs, and tool-heavy tasks in an open model. See practical patterns and examples inside.

    prompt tips
    RephraseMay 21, 2026  ·  7 min read
  3. № 04

    Why DeepSeek V4 Cost Swings 12x

    Learn how DeepSeek V4 pricing really works, why cache hit rate changes your bill dramatically, and how to push costs down fast. See examples inside.

    ai tools
    RephraseMay 21, 2026  ·  7 min read
  4. № 05

    DeepSeek V4 Pro vs V4 Flash

    Learn how to choose DeepSeek V4 Pro or V4 Flash for coding, agents, and long context at 1M tokens. Pick the right model for your workload. Try free.

    ai tools
    RephraseMay 21, 2026  ·  8 min read
  5. № 06

    How to Prompt Qwen 3.6 Max-Preview

    Learn how to write better prompts for Qwen 3.6 Max-Preview, and why Alibaba closed its flagship weights for the first time. See examples inside.

    prompt tips
    RephraseMay 21, 2026  ·  8 min read
  6. № 07

    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, and how to compare models the right way. Read the full guide.

    prompt engineering
    RephraseMay 11, 2026  ·  7 min read
  7. № 08

    Why AI Routing Needs a Multi-Model Gateway

    Discover why AI routing is now a core product layer, and how a multi-model gateway improves cost, uptime, quality, and control. Read the full guide.

    prompt engineering
    RephraseMay 11, 2026  ·  8 min read
  8. № 09

    Why the Mercor Breach Matters for Claude

    Discover why the Mercor breach mattered more than model context, and what Anthropic's Claude Mythos exposure reveals about AI system risk. Read on.

    ai news
    RephraseMay 11, 2026  ·  7 min read
  9. № 10

    1M Context Recall: Opus vs DeepSeek vs Qwen

    Discover how Opus 4.7, DeepSeek V4, and Qwen 3.6 Plus handle 1M-token recall and multi-hop reasoning. See where each model breaks. Read on.

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

    Why Mythos Solving 32 Steps Matters

    Discover what Mythos solving the 32-step Last Ones cyber range really means for AI security, autonomy, and risk. Read the full guide.

    ai news
    RephraseMay 10, 2026  ·  8 min read
  11. № 12

    Which Coding Benchmark Predicts Prod Quality?

    Discover which coding benchmark best predicts production quality across SWE-Bench Pro, Terminal-Bench 2.0, and SciCode. See examples inside.

    ai tools
    RephraseMay 10, 2026  ·  8 min read
Page 3 of 44
Get it monthly:
Older dispatches →