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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

EU AI Act Agent Deployments After 2026

Learn how the EU AI Act changes agent deployments in 2026, from logging to oversight, and what teams must change before August 2. Read the full guide.

RephraseJune 8, 2026Read the essay →
Recently  ·  July 2026
  1. № 02

    Why Agents Hit 66% Human Performance

    Learn how the Stanford AI Index explains the agent leap from 12% to 66% human performance, with benchmark context and prompt takeaways. See examples inside.

    prompt engineering
    RephraseJune 6, 2026  ·  8 min read
  2. № 03

    HubSpot's $0.50 AI Pricing Model

    Discover how outcome-based AI pricing works, why $0.50 per resolved conversation matters, and how to evaluate margins. Read the full guide.

    prompt engineering
    RephraseJune 7, 2026  ·  8 min read
  3. № 04

    Tracing Multi-Agent Workflows with Trees

    Master multi-agent tracing with tree-structured logs, causal graphs, and better debugging. Learn why trees beat flat spans and see examples inside.

    prompt engineering
    RephraseJune 7, 2026  ·  7 min read
  4. № 05

    RAGAS Belongs at Design Time

    Learn why RAGAS should guide RAG design, not every production request. Cut latency, cost, and noise while keeping evaluation useful. Read the full guide.

    prompt engineering
    RephraseJune 7, 2026  ·  8 min read
  5. № 06

    Eval Pipeline: 3 Tiers That Work

    Learn how to build eval pipelines with heuristic, LLM-as-judge, and human review tiers. Cut cost, catch bias, and ship safer evals. Read the full guide.

    prompt engineering
    RephraseJune 7, 2026  ·  8 min read
  6. № 07

    Per-Trace vs Data-Volume Pricing

    Learn how observability pricing changes coverage, retention, and alerting quality, and choose the model that fits your growth. Read the full guide.

    prompt engineering
    RephraseJune 6, 2026  ·  8 min read
  7. № 08

    OpenLLMetry: Avoid Lock-In From Day One

    Master OpenLLMetry vendor-neutral instrumentation for LLM apps and avoid lock-in. Learn the setup, pitfalls, and migration-safe patterns. Try free.

    prompt engineering
    RephraseJune 6, 2026  ·  8 min read
  8. № 09

    Laminar vs Langfuse: The Data Model Gap

    Learn why agent-centric observability breaks prompt-centric tooling, and how to choose a data model that survives real workflows. See examples inside.

    ai tools
    RephraseJune 6, 2026  ·  8 min read
  9. № 10

    LangSmith vs Langfuse in 2026

    Master LangSmith vs Langfuse for LLM observability, tracing, and evaluation. Compare SaaS and open source tradeoffs before you ship. Read the full guide.

    ai tools
    RephraseJune 6, 2026  ·  9 min read
  10. № 11

    Semantic Caching for Agents

    Discover why semantic caching should be your first agent optimization, with practical patterns, cache safety tips, and shipping advice. Try free.

    prompt engineering
    RephraseJune 6, 2026  ·  8 min read
  11. № 12

    Redis for Agent Memory

    Master Redis for agent memory with vector search, state, and Pub/Sub. Learn the architecture, trade-offs, and examples inside. Read the full guide.

    prompt engineering
    RephraseJune 6, 2026  ·  8 min read
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