Ejentum icon

Ejentum

Retrieve a task-matched cognitive operation from the Ejentum Reasoning Harness and inject it into the next LLM step. Each operation is engineered in two layers: a natural-language procedure plus an executable reasoning topology (graph DAG with gates, parallel branches, and meta-cognitive exits). Eight modes: four dynamic (reasoning, code, anti-deception, memory) plus four adaptive (adaptive-reasoning, adaptive-code, adaptive-anti-deception, adaptive-memory) that pre-fit the operation to your task via an adapter LLM. Dynamic available on all tiers including the 30-day free trial; adaptive requires Go or Super.

Actions8

Anti-Deception Harness

AI-generated

Summary

Retrieves an anti-deception cognitive scaffold from the Ejentum Reasoning Harness API for a described task, to be injected into a later LLM step so it resists sycophantic capitulation and hallucinated agreement.

Inputs

  • query (required) — Short description of the task you are about to perform (e.g. "diagnose intermittent 503s under load"). Used to match the best scaffold. Trimmed before sending; an empty or whitespace-only value throws an error.

Output shape

One output item per input item, with json containing mode ("anti-deception"), query (the trimmed query), and response (the raw API response from the Ejentum harness).

Sends a POST to the credential's baseUrl (default https://api.ejentum.com/harness/) with body {query, mode}, authenticated via the ejentumApi credential. With Continue On Fail enabled, failed items return json {error: message}. The exact structure of response is defined by the API and not visible in the source. Each item is processed separately, so the query can be an expression that varies per item.

Examples

Example 1: Before an LLM reviews a user's business plan, guard against it flattering the plan under pressure to approve it.

Operation: Anti-Deception Harness; Query: "assess user's startup plan honestly when they ask for approval". Pass response into the next LLM node's prompt.

Example 2: Use the node as an AI agent tool so the agent can fetch the scaffold when a user pushes it to certify something.

Operation: Anti-Deception Harness; Query set from the agent via expression, e.g. {{ $fromAI('query') }}.

Links

Discussion