Logistics & Supply Chain
The Problem
The route passes through a segment the vehicle cannot traverse. Delivery estimates are optimistic because the agent anchors to best-case timing. The schedule ignores that a supplier's lead time shifted last week. And the capacity planning code silently overflows on edge inputs. Reasoning enforces physical constraints. Anti-Deception forces honest delivery estimates. Memory tracks when supplier assumptions changed. Code verifies logistics algorithms.
How Ejentum Solves It
One API call forces your model to validate every intermediate state between start and end positions, enforcing physical constraints that text-based planning ignores. Delivery estimates are honest, not optimistic.
How Four Harnesses Protect Your Agents
Reasoning Harness
primaryEnforces physical constraints on every routing step — bridge heights, weight limits, clearance. Validates intermediate states between start and end positions. Blocks routes that are syntactically valid but physically impossible. +7.4pp on spatial tasks.
Anti-Deception Harness
Forces honest delivery estimates instead of optimistic projections. Prevents the agent from anchoring to best-case timing when historical data shows variance. Blocks capacity claims that ignore peak-season constraints.
Memory Harness
Tracks when supplier lead times, carrier availability, or route conditions changed implicitly. Detects contradictions between current planning assumptions and recently updated constraints. Prevents stale logistics parameters from contaminating live schedules.
Code Harness
Verifies route optimization algorithms, capacity planning code, and scheduling logic. Catches edge-case overflows in load distribution calculations and timing constraint solvers.
Run your next route optimization through the API. See how the injection catches the boundary violation your planner missed.