Definition
Harness
The organizational scaffolding, tooling, and process layer wrapped around AI models to make them useful and swappable.
From the episode “Your AI Agents Are Burning You Out: The Sustainable AI Workflows Founders Actually Need”Hear it on the podcast1 episode
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Related terms in Agents & Automation
Deterministic Agentic AutomationAgent-driven automation with predictable, governable outcomes, designed for regulated enterprise use cases where explainability and auditability matter.Deterministic vs. probabilistic workTasks that must be exactly right every time (medical, materials) versus tasks where occasional error is tolerable. The skill is separating the two.End-to-End Process AutomationAutomating an entire business process from input to output, rather than discrete tasks within it. The core EvoluteIQ thesis.Governed agentsAI agents running under defined rules, permissions, and data protections.Human AI TeamThe near-future organizational unit in which AI is a genuine collaborator integrated into daily work — not a tool occasionally consulted. Feedback flows in both directions: humans evaluate AI outputs, AI evaluates human reasoning and approach, and there may be an AI evaluating how well the human evaluates AI. Geoff's view: the teams that win in the next decade will be the ones who redesign around this model — not just buying tools, but genuinely reinventing how humans and AI work together to achieve outcomes neither could reach alone.Human in the loop (HITL)An AI setup where a person reviews, corrects, or approves the system's work as part of the process.Human-in-the-Loop AIAn AI system design pattern in which humans remain involved in the workflow to review, correct, or approve AI outputs before they drive consequential actions - rather than operating fully autonomously. Human-in-the-loop is distinct from fully automated AI (where no human reviews outputs) and from purely human-operated workflows (where AI provides no assistance). Mehul Shah's key refinement: the goal is to keep humans in the loop for decisions while removing them from the critical path of execution. The human should not be the bottleneck who processes every document - that is the work AI automates. The human should be the final authority who reviews flagged items and makes the consequential calls.HyperautomationAn earlier wave that combined RPA, workflow tools, and basic AI to automate as many processes as possible. Now considered a precursor to agentic automation.