Definition
Confidence Level Prompting
A 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.
From the episode “Reality Check Every Founder Needs in 2026”Hear it on the podcast1 episode
Learn the language of AI-native founders
Every week: the new terms, tools, and workflows founders are using, straight from the podcast.
Related terms in Agents & Automation
Bypass modeLetting a coding agent run without step-by-step approvals.Character AgentAn AI agent built on top of an existing IP's lore, voice, and personality.Cognitive AutomationAutomation that uses NLP and ML to handle unstructured data and judgment-based tasks, sitting between RPA and full agentic systems.Computer Use (Open Claw)A capability that allows AI agents to operate a computer directly, clicking buttons and navigating interfaces the way a human would. Will's team uses it to manage paid advertising.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 Agentic AutomationAgent-driven automation with predictable, governable outcomes, designed for regulated enterprise use cases where explainability and auditability matter.