Your agent thinks it's reasoning well.
It lost the thread five steps ago
One API call. Your agent stops drifting, fabricating, and capitulating.
A reasoning harness that shapes how the model reasons and what failure modes to block. Matched to each task at runtime.
Connect any MCP client →api.ejentum.com/mcpShip agents that stay reliable at their 100th step.
The Problem
Static cognition doesn't survive production.
Static reasoning baked at build time can't handle what agents encounter at runtime. Here's what breaks.
One-Size Reasoning
Your agent applies the same reasoning to a 3-step task and a 30-step chain. It cannot shift gears. The cognitive strategy is frozen at deploy time.
Error Multiplication
Three-agent chain at 90% step accuracy: 73% end-to-end success. Five agents: 59%. Reasoning errors don't add. They compound, each hop inheriting and amplifying what broke upstream.
Silent Failures
Reasoning failures don't throw exceptions. By the time wrong output surfaces, the agent has already made three more decisions on top of the bad one. There's no stack trace for cognition.
Attention Dilution
Models lose mid-prompt content. The guardrail you need is the one the model stopped reading by token 2,000. Your 5,000-token system prompt competes with itself.
False Hypothesis Lock-in
The agent commits to its first interpretation and never self-corrects. On ARC-AGI-3, this is the #1 failure mode of every frontier model. The hypothesis feels right, so the agent stops questioning it.
Shallow Stopping
The agent reaches the first plausible answer and presents it as final. No verification, no alternatives considered, no uncertainty flagged. In our benchmarks, baseline agents self-monitored on less than 25% of tasks.
Cross-Domain Blindness
Your agent reasons well about causality but misses the temporal dependency. Or nails the spatial layout but ignores the simulation consequences. Real tasks span multiple dimensions. Single-lens reasoning misses the intersection.
These are architecture problems, not prompt problems. The fix is inference-time reasoning correction: a different cognitive ability retrieved for every task, selected at runtime.
How It Works
Imagine your agent's query
to Ejentum.
Your Agent
POST api.ejentum.com/harness/
Authorization: Bearer YOUR_KEY
{
"query": "We changed the checkout flow and conversion rose. Did the change cause it?",
"mode": "reasoning"
}
Ejentum
[PROCEDURE]
Step 1: Identify the intervention being attributed.
Step 2: Simulate the counterfactual world where
ONLY that element is absent.
Step 3: Compute factual - counterfactual outcomes.
[NEGATIVE GATE]
Treating temporal coincidence as causation
without ruling out confounders.
Amplify: counterfactual_construction
Suppress: post_hoc_attribution
LLM Output
The change coincided with +18% conversion. But seasonality, concurrent marketing, A/B leakage, and traffic mix must be quantified before attribution. The residual lift after that audit is the actual answer.
More examples →Condensed for display. Full live responses on the Quickstart page.
Heym
Multi-agent canvas. Wire as a tool, or connect the agent's MCP to api.ejentum.com/mcp.
Heym guide →Evidence
Agents with Ejentum vs Agents without.
Same frontier model. Same tasks. Once without Ejentum, once with. Five benchmarks, four harnesses, one change.
The model already had all of this. Coding passes jumped to 100% when the spirals stopped. Scientific bugs fell to zero when the shortcuts got blocked. Reasoning depth multiplied twelvefold when the drift got caught. Sycophancy dropped to 5.8% when the flattery reflex got suppressed. Perception tripled when observation got enforced.
The harness doesn't add capability. It removes the failure that was consuming it.
Universal Integration
Drop in anywhere
LangGraph
CrewAI
Heym
LlamaIndex
Flowise
Langflow
Mastra
Botpress
Voiceflow
AgentOps
Smolagents
Antigravity
Codex
Claude Code
Groq
Cohere
xAI
DeepSeek
Inception Labs
Fireworks AI
Nous ResearchPricing
Developer-first. No contracts.
One month free. 1,000 dynamic calls. No card.
Super
dynamic + adaptive · all harnesses
Tailored reasoning. The harness rewrites the cognitive operation to fit your specific task. Safety checks stay locked.
Get Started →- ✓5,000 dynamic calls/month
- ✓1,500 adaptive calls/month
- ✓4 harnesses · 679 cognitive abilities
- ✓Safety locks always active (failure guard, suppression, checkpoint)
- ✓Hosted MCP at api.ejentum.com/mcp
Go
dynamic + adaptive · all harnesses
Dynamic reasoning across all four harnesses. Adaptive included.
- ✓1,000 dynamic calls/month
- ✓250 adaptive calls/month
- ✓4 harnesses · 679 cognitive abilities
- ✓Same API surface as Super
Free trial
one month · no card
See what the harness does to your agent before deciding.
- ✓1,000 dynamic calls
- ✓Dynamic modes only (no adaptive)
- ✓All four harnesses unlocked
- ✓No payment method required
Start free. Step up to Go for ongoing use. Super when your agent needs adaptive reasoning at production volume.
Honest Scope
Ejentum doesn't help every agent. If you're running a single-step classifier, a simple RAG lookup, or any task where the model already converges in one hop, you're paying for cognitive overhead you don't need. Ejentum earns its cost on multi-step chains where errors compound: planning agents, research agents, code agents that touch more than a handful of files. If that's not you, don't buy this yet.
Frank Brsrk
Founder
The thread holds.
Every step.
One month free. 1,000 dynamic calls. No card.