01 / JEV GUIDE
Jev 1.14 update: model selection, images and Box localization
An October 15, 2026 review of Jev 1.14, preview versus latest, experimental images and Box, long context and SDK migration checks.
Read guide →LEARN & BUILD
19 Jev guide topics covering API integration, agent automation, record linkage, Playwright semantic tests and writing checks, with source-backed cases and limits.
Based on official documentation and project sources. Editorial suggestions and synthetic examples are not live model test results. This is an independent collection.
Understand Jev decisions, API setup, prompts and model selection.
01 / JEV GUIDE
An October 15, 2026 review of Jev 1.14, preview versus latest, experimental images and Box, long context and SDK migration checks.
Read guide →02 / JEV GUIDE
Understand TypeSafe Jev, its typed outputs and practical use cases, with browser automation, MCP and context-filtering projects.
Read guide →03 / JEV GUIDE
Build a Jev API request with state, typed questions and Bearer authentication. Download a JSON fixture and review response checks.
Read guide →04 / JEV GUIDE
Write focused Jev questions with original feedback-routing examples, explicit criteria and a practical edge-case checklist.
Read guide →15 / JEV GUIDE
Compare Jev and generative LLM task boundaries through rewriting and script-review cases. Typed output does not establish correctness or performance.
Read guide →Connect decisions to browsers, agents, context management and work messages.
05 / JEV GUIDE
Understand Jev MCP setup, evaluate tool arguments, credential routing and the difference between a working connection and a live model call.
Read guide →06 / JEV GUIDE
Compare Winnow and fast-jev-compaction by integration point, preservation strategy and failure checks for Claude Code context management.
Read guide →09 / JEV GUIDE
Extract candidates from the DOM or accessibility tree, let Jev select an action, and execute through Playwright or Computer Use. Understand replay and stale-page limits.
Read guide →11 / JEV GUIDE
Understand the TypeSafe AI community node, self-hosting, State and Choice outputs, then design email routing with review and bounded retries.
Read guide →17 / JEV GUIDE
Understand Work with Jev: role-aware Feishu message classification, four Noul signals, manual review and a cross-chat task queue, with synthetic acceptance cases.
Read guide →Separate classification, retrieval, reranking and entity matching.
07 / JEV GUIDE
Design Jev Choice classification with distinct labels, unknown inputs and review paths, then explore model-routing and semantic-filtering projects.
Read guide →08 / JEV GUIDE
Place Jev after retrieval: define relevance, preserve provenance, distinguish snippets from full text and evaluate rankings with labeled queries.
Read guide →18 / JEV GUIDE
Use jlink to reason about entity matching: candidate generation, Jev pair judgments, assignment constraints and audits for false links and missed matches.
Read guide →Design reviewable tests, moderation, citation checks and writing rules.
10 / JEV GUIDE
Use Jev to assess messages while the application decides whether to allow, review or act. Explore Discord moderation rules, thresholds and failure handling.
Read guide →12 / JEV GUIDE
Separate finding a paper, locating its evidence and judging claim support. Explore citation-review cases, abstract limits, numeric checks and human verdicts.
Read guide →16 / JEV GUIDE
Use semantic-assert to check the meaning of UI feedback with Jev. Separate exact assertions, state capture, retries, redaction and failure evidence.
Read guide →19 / JEV GUIDE
Turn writing requirements into line-level checks and document scores with slop-grader. Design custom rules, review false positives and preserve meaning during edits.
Read guide →Explore decisions over text segments and finite actions in creative applications.
13 / JEV GUIDE
Explore JevMeter and audio beeping: transcribe and align first, evaluate text, then edit media in code. Distinguish rhetoric scores from fact-checking.
Read guide →14 / JEV GUIDE
Explore NPC decisions through Jev Lab and HEIST//ONE: local state, finite actions, stale responses, rule-based fallbacks and live-model versus replay checks.
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