The shipwithjev press · 151 posts · page 2 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. 112Comparisons
Batch vs Real-Time Verdicts
Batch LLM processing or real-time verdicts? Pick by when the answer must exist, how cost scales with clock or items, and what builders report.
Sep 30, 2026Read →
- FIG. 111Triage & routing
Escalation Design Patterns
Eight LLM escalation patterns for decision pipelines, from confidence gates to never-approve gates, with builder receipts and the anti-patterns.
Sep 30, 2026Read →
- FIG. 110Recipes
Question Versioning in Practice
Prompt versioning for judge questions: what counts as a breaking change, how to tag verdicts, and how to roll out a reworded question safely.
Sep 30, 2026Read →
- FIG. 109Monitoring
Verdict Logging and Audit Trails
Build an AI decision audit trail: what each verdict log record needs, what to leave out, and how to answer who decided and why. Not legal advice.
Sep 30, 2026Read →
- FIG. 108Calibration
Calibrating a Judge: The 100-Case Method
LLM calibration in one afternoon: the 100-case method for verdict agreement testing, reading disagreements, and checking probability buckets.
Sep 30, 2026Read →
- FIG. 107Calibration
Confidence Thresholds: The Complete Guide
Confidence threshold LLM guide: how to set probability cutoffs from labeled data and error costs, with two-sided bands and builder receipts.
Sep 30, 2026Read →
- FIG. 106Comparisons
Decision Model vs LLM: The Category Explainer
Decision model vs LLM: what a decision model is, how it differs from a chat LLM, and the builder receipts that show where each one belongs.
Sep 30, 2026Read →
- FIG. 105Comparisons
Decision Models vs Agent Frameworks: Different Layers, Same Stack
Agent framework vs model is a layer mix-up. Where a decision model like Jev plugs into LangChain, Pydantic AI and Composio, with receipts.
Sep 30, 2026Read →
- FIG. 104Comparisons
Jev vs Human Review: The Real Math
AI vs human review cost, done honestly: the formula, builder-reported verdict prices, and why the win is coverage, not headcount.
Sep 30, 2026Read →
- FIG. 103Comparisons
Jev vs a Fine-Tuned BERT: Which Classifier Should You Ship?
BERT vs LLM classification, specifics only: labels, 512 tokens, retraining, and when a fine-tuned small model should inherit a Jev pipeline.
Sep 30, 2026Read →
- FIG. 102Comparisons
Jev vs Rules Engines
Rules engine vs AI: when rules beat models, where Jev's verdicts take over, and the rules-floor pattern that keeps both honest in one pipeline.
Sep 30, 2026Read →
- FIG. 101Comparisons
Jev vs Embeddings: Ruling vs Resembling
Embeddings vs LLM classification: embeddings measure likeness, Jev rules on a question. When each wins, and why the best stacks use both.
Sep 30, 2026Read →
- FIG. 100Comparisons
Jev vs Llama: Hosted Verdicts vs Self-Host
Jev vs Llama for open model classification: what hosted verdicts cost, what self-hosting costs, and when running Llama yourself wins.
Sep 30, 2026Read →
- FIG. 99Comparisons
Jev vs Kimi K3: Partners, Not Rivals
Jev vs Kimi: a decision model and a general model do different jobs. In the Kimi K3 cascade fraud build, the pair scored 96/100 for ~$0.07.
Sep 30, 2026Read →
- FIG. 98Builds & people
Jev for Nonprofits: Triage on a Zero Budget
AI for nonprofits on a tight budget: donor email triage and volunteer routing for cents, as reported, with humans on every gift decision.
Sep 30, 2026Read →
- FIG. 97Builds & people
Jev for Educators: Formative Only, Loudly
AI for teachers, done responsibly: classroom feedback automation for practice work and item analysis, with every grade that counts left to you.
Sep 30, 2026Read →
- FIG. 96Builds & people
Jev for Agencies: Sell Verdicts, Not Hours
AI for agencies: turn audits and client reporting automation into priced verdicts with Jev, with builder-reported receipts and client guardrails.
Sep 30, 2026Read →
- FIG. 95Builds & people
Jev for Newsletter Creators
An AI newsletter workflow that keeps your voice: Jev runs draft checks before send and triages replies after, for fractions of a cent, as reported.
Sep 30, 2026Read →
- FIG. 94Builds & people
Jev for Community Managers
AI community management with Jev: UGC triage, reply filtering, and reading member vibes at scale, with humans owning bans and every judgment call.
Sep 30, 2026Read →
- FIG. 93Builds & people
Jev for QA: The Checks Assertions Can't Write
AI software testing for QA teams: semantic test checks that assertions can't express, reported E2E run costs, and where Jev stays out.
Sep 30, 2026Read →
- FIG. 92Builds & people
Jev for Data Teams: Judgment as Infrastructure
Putting an LLM in the data pipeline without the chaos: typed verdicts for AI data quality checks, enrichment, dedup, and labels, all versioned.
Sep 30, 2026Read →
- FIG. 91Builds & people
Jev for PMs: Feedback Triage at Last
AI product feedback analysis that reads every ticket, review, and call note: feature request triage by area, pain, and segment for pennies.
Sep 30, 2026Read →
- FIG. 90Builds & people
Jev for Customer Success Teams
AI customer success without a new platform: read every customer message for health signals, prep renewals, and hand CSMs a short list. CS automation.
Sep 30, 2026Read →
- FIG. 89Builds & people
Jev for Recruiters: Ops, Not Rankings
AI for recruiters that cleans the pipeline instead of judging people: dedup, completeness, spam, and scorecard checks. Recruiting ops automation.
Sep 30, 2026Read →
- FIG. 88Recipes
OCR + Jev: A Document Intake Pipeline
Document intake automation in three moves: scan, classify, route. OCR reads the page, Jev judges the text, humans handle anything touching money.
Sep 30, 2026Read →
- FIG. 87Triage & routing
Triage Meeting Requests Automatically
AI meeting triage for founders: a calendar request filter that sorts, asks for agendas, and queues replies, while you still decide who gets your time.
Sep 30, 2026Read →
- FIG. 86Recipes
Materialize Verdicts as Warehouse Columns
Build an LLM enrichment pipeline that writes verdicts into warehouse columns once, so AI columns in dbt get queried like any other field.
Sep 30, 2026Read →
- FIG. 85Recipes
An Eval Suite in One Day, Honestly
Build an LLM eval suite in one day: 50 eval cases, a judge grading setup that's been checked against you, and a run cheap enough for every commit.
Sep 30, 2026Read →
- FIG. 84Guardrails
Moderate a Discord Community With Verdicts
Discord AI moderation that hides, flags, and queues instead of banning on a hunch. Build a community mod bot on verdicts, humans on the ban button.
Sep 30, 2026Read →
- FIG. 83Recipes
Build a Churn-Flag Pipeline From Support Text
Churn detection from tickets as a working pipeline: cancellation language alerts, account rollups, and a human on every save play.
Sep 30, 2026Read →
- FIG. 82Recipes
Add Verification to Any Agent in an Hour
Verify AI agent output in an hour: turn the agent's claims into yes/no questions for Jev, gate risky steps, and send unsure results to a human.
Sep 30, 2026Read →
- FIG. 81Recipes
Build Your Team's Pre-Publish Content Scorer
Build an AI content scoring check with Jev: turn your style guide into yes/no questions, score every draft in seconds, keep editors in charge.
Sep 30, 2026Read →
- FIG. 80Evals & judging
Turn Survey Open-Ends Into Data
Analyze open-ended survey responses with Jev: build a codebook, code every answer as verdicts, check a hand-coded sample, then chart it.
Sep 30, 2026Read →
- FIG. 79Recipes
Build a Lead Router That Replies in Minutes
AI lead routing with Jev: judge each inbound lead on arrival, route it to the right rep in seconds, and keep humans on every reply. Receipts included.
Sep 30, 2026Read →
- FIG. 78Recipes
Screen Product Reviews Before They Publish
A review moderation workflow with Jev: screen every product review before it publishes, filter fakes and policy breaks, send unsure ones to a human.
Sep 30, 2026Read →
- FIG. 77Recipes
A Jev PR Check as a GitHub Action
Build an AI PR review action with Jev: ask closed questions about each diff, post a status check, and keep humans on the merge button.
Sep 30, 2026Read →
- FIG. 76Guardrails
Add a Guardrail to Your Chatbot This Afternoon
Add chatbot guardrails in an afternoon: check each reply with Jev before it ships, route unsure answers to a fallback, log every verdict.
Sep 30, 2026Read →
- FIG. 75Recipes
Dedupe Your CRM in a Weekend
A weekend CRM deduplication recipe: block candidates, ask Jev if two contacts are the same person, review the unsure pairs, then merge safely.
Sep 30, 2026Read →
- FIG. 74Recipes
Build a Slack Triage Bot on Jev
Build a Slack AI triage bot with Jev: route Slack messages, filter channel noise, and escalate what matters. Step by step, with real receipts.
Sep 30, 2026Read →
- FIG. 73Recipes
Classify a CSV With Jev in 20 Minutes
Classify a CSV with AI in about 20 minutes: pick columns, write one question, batch rows through Jev, and audit a sample. Real costs as reported.
Sep 30, 2026Read →