Human-in-the-Loop (HITL)

Human-in-the-loop means designing AI systems with deliberate checkpoints where human judgment is required. Rather than fully autonomous or fully manual, HITL finds the optimal balance: AI handles the volume and speed, humans handle the judgment and quality.

Common HITL patterns include approval gates (human reviews AI output before it ships), escalation paths (AI flags uncertain decisions for human review), feedback loops (human corrections improve AI behavior over time), and strategic oversight (human sets direction, AI executes). The key is placing human checkpoints where they add the most value — not everywhere, which negates the speed benefits of AI.

At Agentik {OS}, human-in-the-loop is central to our model. AI agents handle 90% of the execution work. The human expert handles strategy, architecture decisions, quality review, and client communication — the 10% where human judgment is irreplaceable. This is not a limitation; it is a feature. The human ensures everything aligns with business goals, catches edge cases AI might miss, and provides the creative direction that makes each project unique.