shipwithjev

The shipwithjev press · 151 posts · page 4 of 4

Blog.

What the builds in the catalog add up to. Every post goes through the same gate: every number is as reported by its author.

  • Questions 31
  • Builds & people 30
  • Recipes 23
  • Comparisons 18
  • Guardrails 9
  • Evals & judging 8
  • Triage & routing 8
  • Cost 7
  • Classification 6
  • Calibration 5
  • Monitoring 4
  • Essays 2
Fig. 00 · The pressIn, judged, stamped, out
  1. FIG. 32Evals & judging

    RAG Evaluation: Measuring Whether Your Retrieval Actually Grounds Anything

    RAG evaluation decomposed: retrieval relevance, answer faithfulness, and completeness as judge verdicts you can run on every query, not every quarter.

    Sep 22, 2026Read →

  2. FIG. 31Cost

    How to Reduce LLM Costs: The Playbook, Ranked by Payback

    The LLM cost-cutting playbook in payback order: cascades, right-sizing, caching, batching, and prompt diet, with receipts on what each lever saves.

    Sep 22, 2026Read →

  3. FIG. 30Builds & people

    Jev, Robotics, and the Edge: The Smallest Category With the Longest Fuse

    Six builds, one big implication: a model fast enough for game loops is flirting with control loops. The honest state of Jev in robotics and edge devices.

    Sep 22, 2026Read →

  4. FIG. 29Builds & people

    Jev Trading Bots: What People Built, and Why We Catalog It With an Eyebrow

    Within 48 hours people wired Jev to real money: a $10K live experiment, a 300ms on-chain bot. What the trading builds show, and why speed is not edge.

    Sep 22, 2026Read →

  5. FIG. 28Builds & people

    The First Week of Jev: A Launch Told Through What Got Built

    Jev launched in mid-September 2026 and the builds arrived faster than the takes. The first week's story, told through what shipped, category by category.

    Sep 22, 2026Read →

  6. FIG. 27Builds & people

    Jev for Ecommerce: Catalog, Reviews, and Support at Verdict Prices

    The ecommerce jobs that are secretly classification: product categorization, review screening, support triage, and listing moderation, priced in cents.

    Sep 22, 2026Read →

  7. FIG. 26Builds & people

    Jev for Marketers: When Growth Decisions Stop Being Vibes

    What the content-and-growth builds prove: ad teardowns at scale, pre-publish scoring, reply filtering, and marketing judgment as cheap measurable verdicts.

    Sep 22, 2026Read →

  8. FIG. 25Builds & people

    Jev for Developers: Verdicts in Your CI, PRs, and Agent Loops

    Where a decision model earns a place in a dev workflow: PR verdicts, test triage, CI quality gates, log classification, and context compaction.

    Sep 22, 2026Read →

  9. FIG. 24Essays

    Natural Language Database Queries: WHERE jev(people, 'could work from home')

    A Postgres extension puts an AI judge inside the WHERE clause: natural language filters over real rows, 129 rows a second. How it works, where it belongs.

    Sep 22, 2026Read →

  10. FIG. 23Guardrails

    AI Agent Verification: Trust, but Judge

    Agents claim they finished the task. Verification is how you know. The judge-layer pattern for checking agent work, with real builds and failure modes.

    Sep 22, 2026Read →

  11. FIG. 22Classification

    AI Data Labeling: When the Judge Becomes the Annotator

    AI data labeling flipped: models now label datasets for humans to audit. The workflow, the reported costs, and the quality controls that matter.

    Sep 22, 2026Read →

  12. FIG. 21Comparisons

    LLM vs Traditional ML for Classification: An Honest Decision Guide

    LLM or trained classifier? A 2026 guide: where each wins on cost, accuracy, and maintenance, and why decision models moved the crossover point.

    Sep 22, 2026Read →

  13. FIG. 20Recipes

    Structured Outputs From LLMs: Stop Parsing Prose for a Living

    Structured outputs from LLMs: schema modes, their failure points, and why decision models sidestep the parsing problem for classification work.

    Sep 22, 2026Read →

  14. FIG. 19Comparisons

    Jev vs Claude Haiku vs Gemini Flash: The Small-Model Bracket

    The comparison that actually matters: Jev against the fast cheap chat tiers. Interface, economics, and workload-by-workload calls, hype-free.

    Sep 22, 2026Read →

  15. FIG. 18Triage & routing

    LLM Routing: The Cascade Architecture Eating Every AI Stack

    LLM routing explained: how cheap-model-first cascades hit near-frontier accuracy at 1% of frontier cost, with confidence-gate design and real numbers.

    Sep 22, 2026Read →

  16. FIG. 17Guardrails

    AI Content Moderation: Judging Every Post Instead of Sampling

    AI content moderation used to mean sampling. At decision-model prices you judge every post, comment, and review live. Architecture, costs, and limits.

    Sep 22, 2026Read →

  17. FIG. 16Comparisons

    Jev Alternatives: The Honest Landscape for Fast, Cheap AI Decisions

    Every real alternative to Jev for decision workloads: small chat LLMs, trained classifiers, embeddings, rules, and when each one beats the decision model.

    Sep 22, 2026Read →

  18. FIG. 15Builds & people

    Jev Limitations: What It Can't Do (Read Before You Build)

    The unhyped list: everything Jev can't do, where verdicts wobble, and the design mistakes that turn a great decision model into a bad experience.

    Sep 22, 2026Read →

  19. FIG. 14Comparisons

    Jev Review: One Week and 600 Builds In, Is It Actually Good?

    An honest Jev review from the site that catalogs every build: what the decision model is genuinely great at, where it disappoints, and who should skip it.

    Sep 22, 2026Read →

  20. FIG. 13Evals & judging

    How to Write LLM Judge Questions (The Skill Behind Every Good Build)

    The craft behind every working judge pipeline: turning fuzzy criteria into rulings. Question patterns, worked examples, and the failure modes to avoid.

    Sep 22, 2026Read →

  21. FIG. 12Evals & judging

    LLM Evals: How to Build an Eval Suite That Actually Catches Regressions

    A practical guide to LLM evals in 2026: what to test, how judge models grade at scale, and why cheap verdicts mean you can eval every commit.

    Sep 22, 2026Read →

  22. FIG. 11Evals & judging

    AI Lead Scoring in 2026: 700 Leads in 40 Seconds for 9 Cents

    AI lead scoring got cheap enough to run on every lead, live. How decision-model scoring works, what it costs, and how to replace the points spreadsheet.

    Sep 22, 2026Read →

  23. FIG. 10Cost

    Jev Pricing in Practice: What 600+ Real Builds Actually Cost

    No marketing math: the reported real-world costs of Jev builds, from $0.0004 scoring runs to $7/hour Doom. Plus where it lands in the cheapest-LLM hunt.

    Sep 22, 2026Read →

  24. FIG. 09Builds & people

    Jev Plays Doom: What Real-Time Games Prove About Instant AI

    Builders have Jev playing Doom at 10 decisions a second, Mario, and Slay the Spire 2 at 0.7s a move. Why real-time games are the proof that matters.

    Sep 22, 2026Read →

  25. FIG. 08Builds & people

    AI Browser Agents on Jev: 7-Second Tasks for Tenths of a Cent

    AI browser agents when the decision layer costs $0.001 and answers instantly: flight searches in 7 seconds, Stagehand runs, screenshot-free computer use.

    Sep 22, 2026Read →

  26. FIG. 07Triage & routing

    Support Ticket Triage With AI: The Most Underrated Jev Use Case

    Support ticket triage is the highest-ROI, least-hyped decision-model use case. How LLM routing works with Jev, what it costs, and the lead-scoring twin.

    Sep 22, 2026Read →

  27. FIG. 06Recipes

    How to Get Started With Jev (Without Cargo-Culting the Hype)

    Getting started with Jev, TypeSafe AI's decision model: the mental model, how to design judge questions, your first project, and where the docs live.

    Sep 22, 2026Read →

  28. FIG. 05Comparisons

    Jev vs GPT: Decision Model vs Chat Model, Honestly Compared

    Jev vs GPT is the wrong fight and the right question. When a decision model beats a chat LLM, when it loses badly, and when to run both. Real numbers.

    Sep 22, 2026Read →

  29. FIG. 04Triage & routing

    Email Classification With AI: 500 Emails for 3.5 Cents

    Email classification with AI, priced from real builds: 500 emails for 3.5 cents, fraud detection at 96/100 for $0.07. How AI email triage works with Jev.

    Sep 22, 2026Read →

  30. FIG. 03Builds & people

    Jev Use Cases: What 600+ Real Builds Say People Actually Do With It

    Every Jev use case worth knowing, drawn from 600+ cataloged builds: email triage, browser agents, real-time games, judging, trading, and the weird stuff.

    Sep 22, 2026Read →

  31. FIG. 01Evals & judging

    LLM as a Judge: How It Works and What It Costs in 2026

    LLM as a judge, explained with real numbers. How the pattern works, where it breaks, and why fast decision models changed the cost math in 2026.

    Sep 22, 2026Read →