Mechanism: Termination Condition — How to Stop an AI Loop on Purpose
A termination condition is an explicit, checkable rule that tells a loop or agent run to stop by design —…
Mechanism: Loop — Repeat Until the Job Is Actually Done
A loop is running the same goal-driven pass again — prompt, edit, check — until a defined stop condition holds.
Mechanism: Constraints — Stop the Agent From “Improving” the Wrong Things
Constraints are explicit limits on what the agent may change, add, or assume — stated alongside the goal so helpfulness…
Mechanism: Goal — Define What “Done” Means Before You Prompt
A goal is an explicit statement of what must be true when work is finished — symptom, boundary, and how…
TeacHER Explains: A simple AI audio workflow
A practical beginner workflow for recording, transcribing, cleaning, summarizing, reviewing, and exporting audio with AI.
TeacHER Explains: How AI helps with podcasts and meetings
See how AI can transcribe, summarize, clean, clip, and organize spoken content without replacing human judgment.
TeacHER Explains: How to use AI voice tools safely
A beginner safety lesson for consent, disclosure, likeness, private recordings, and trust when using synthetic voices.
TeacHER Explains: Speech-to-text vs text-to-speech
Learn the difference between AI that listens and writes, and AI that reads text aloud as a synthetic voice.
TeacHER Explains: What is AI audio and voice?
A beginner-friendly explanation of AI tools that can generate, edit, transcribe, summarize, and transform sound and speech.
TeacHER Explains: How to build a simple AI visual content workflow
A practical beginner workflow for planning, prompting, reviewing, editing, and reusing AI-generated visuals without getting lost in tools.