Definition
Deterministic Agentic Automation
Agent-driven automation with predictable, governable outcomes, designed for regulated enterprise use cases where explainability and auditability matter.
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Related terms in Agents & Automation
Confidence Level PromptingA technique for improving LLM reliability: after receiving an answer or solution, ask the model to rate its confidence level in what it just provided. A low rating (e.g., 'I'm about 70% confident') typically triggers the model to reconsider, surface suppressed uncertainty, and work toward a more validated answer before you act on it. Useful for code solutions, factual claims, and strategic recommendations. Ran uses this routinely: 'What's your confidence level in the solution you just created?' — the model often responds by catching its own errors.Conversation simulatorA Bonds feature where AI plays your partner so you can rehearse a hard talk and get scored feedback.Coordination LayerThe infrastructure that handles all the in-between work in a knowledge workflow. Workmate is building the coordination layer for meetings.Deep research protocolAn automated process that gathers sources, quotes, companies, and people around a topic and outputs a research brief.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.HarnessThe organizational scaffolding, tooling, and process layer wrapped around AI models to make them useful and swappable.