Agentic Reasoning Patterns: Beyond Chain-of-Thought
Engineering

Agentic Reasoning Patterns: Beyond Chain-of-Thought

How we engineer deterministic reasoning in autonomous systems using Graph of Thought (GoT) and recursive critique loops for high-stakes enterprise workflows.

Oct 12, 2025
12 min read
By Head of Applied AI

The Limits of Linear Reasoning

Standard Chain-of-Thought prompting fails when workflows require backtracking or non-linear problem solving. Enterprise agents require rigorous, auditable reasoning structures.

Graph of Thought Architecture

We implement reasoning as a directed acyclic graph (DAG), where each node represents a thought state. This allows the model to explore multiple reasoning paths simultaneously and converge on the optimal solution.

Recursive Critique

Self-correction is key. Our agents employ a "Critic" persona that evaluates every reasoning step against a set of invariant constraints (e.g., regulatory compliance, budget limits) before execution.

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