Agent tool routing
At every step, an agent may choose among several tools or actions. Jev can read the current state and decide whether to search, read a file, call an API, wait, or escalate.
Flight search agent
- Jev decides
- Which tool to call, result relevance, and whether human approval is required.
- Other software handles
- Browser actions, fare retrieval, purchase restrictions, and presentation.
- Watch for
- Travel data changes; final prices and purchases cannot rely on model judgment alone.
Real-time 3D scene assembly
The viral 3D demos do not ask Jev to generate meshes from scratch. A more accurate workflow starts with an asset library, then uses Jev to decide which objects, colors, positions, lighting, and states match a text brief.
Interior scene builder
- Jev decides
- Select known assets and decide their attributes and states.
- Other software handles
- The 3D engine loads meshes, resolves collisions, renders, and animates.
- Watch for
- Asset quality, spatial constraints, and rendering come from the surrounding system—not Jev multimodality or 3D generation.
Content filtering and bulk labeling
A platform processing large volumes of posts, comments, tickets, or ads can ask Jev to detect promotional intent, fraud risk, urgency, topic, and review requirements in parallel.
Native advertising detection
- Jev decides
- Whether content contains promotion, discount pressure, product placement, or traffic diversion.
- Other software handles
- Content ingestion, policy enforcement, appeals, and human review.
- Watch for
- Ambiguous advertising is context-sensitive and needs language- and platform-specific evaluation.
Semantic search and context selection
Jev can judge relevance across many candidate snippets, helping agents or RAG systems select useful context from long histories, contacts, documents, or traces.
- Generate candidates with a database or vector search, then use Jev to rerank.
- Do not replace exact fields, dates, or permission filters with a semantic model.
- Log discarded context to make silent failures debuggable.
Verify another model’s output
Jev can act as a fast, inexpensive second opinion for prompt injection, risky tool calls, citation support, or response quality. It adds a signal; it is not a mathematical proof of correctness.
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How Jev and LLMs work together
Split the workflow by task shape before choosing a model.