Check whether AI is lowering or adding to my mental load

Help me check whether the AI tools I use are making my work lighter or heavier. My role: [JOB TITLE] How I use AI today: [LIST - tool, task, how often, e.g. "Copilot to draft emails daily", "ChatGPT to summarize reports weekly"] Tasks that still feel mentally heavy: [LIST] Any new work AI has created: [e.g. "reviewing AI drafts from my team", "more meeting summaries to read", "tracking prompts"] Analyze each use and task: 1. Load reduced: where AI takes real mental effort off me (first drafts, summarizing long material, reformatting, recall). 2. Load added: where AI adds effort, such as checking for errors, rewriting generic output, writing and refining prompts, switching between tools, reading more AI-generated messages, summaries, and updates from others, or extra coordination about who used AI for what. 3. Net effect: for each use, is it a clear win, break-even, or a net cost once checking time is counted? 4. Untapped relief: 3-5 heavy tasks from my list where AI could genuinely reduce load, and what good use would look like. Return: - A table: | Task / use | Load reduced | Load added | Net effect | Change to make | - Uses to stop, uses to keep, uses to try. - 3 team norms that would cut AI-generated noise (e.g. "summaries under 150 words", "say when a draft is AI-assisted"). Don't assume AI always saves time. Count the time to verify output, and flag tasks where errors would be costly enough that I must check every line.