37 minutesI Tried AI as a Life Coach for 365 Days - Here's What I Learned
Use AI to challenge assumptions, compare options and surface counterarguments before making decisions.
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37 minutesUse AI to challenge assumptions, compare options and surface counterarguments before making decisions.
17 minutesCombine active recall, practice problems and AI explanations into a repeatable learning routine.
22 minutesGenerate a realistic study plan from your goal, schedule and constraints, then adapt it as you learn.
13 minutesDesign a meeting workflow that captures transcripts, summaries and action items without losing human review.
4 minutesCompare a standalone transcription workflow with integrated meeting assistants before choosing a tool.
18 minutesUse ChatGPT to explain formulas and iterate on spreadsheet logic while verifying every result in Excel.
12 minutesSee how spreadsheet AI can structure messy text and classify data, then check formulas and labels carefully.
4 minutesState one rule of thumb for telling AI homework help apart from AI cheating.
48 minutesLearn Midjourney prompting intuition while separating durable prompt concepts from changing UI controls.
48 minutesCompare image generators by task fit, failure modes and cost instead of memorizing a fixed ranking.
5 minutesList two visual tells that can suggest (not prove) an image is AI-generated.
20 minutesArticulate the difference between connection and companionship Turkle describes, and apply it to an AI chat habit.
11 minutesLearn what recording quality and consent boundaries matter before creating a voice clone.
16 minutesUnderstand the main AI-audio workflow categories: narration, speech-to-speech, voice design and cloning.
20 minutesYou leave with a compact framework for prompt clarity and iteration, plus worked patterns for emails, summaries and analysis.
25 minutesBuild stronger prompts by adding role, task context, examples, constraints and output format one layer at a time.
1 minutesIn one sentence, say what a Content Credential is meant to record about a piece of media - then confirm details in current C2PA/Adobe docs, since a 30-second clip is only an intro.
12 minutesBuild a small reusable assistant with instructions, knowledge files and access settings.
13 minutesUnderstand project-level context and when it is a better fit than repeating the same background in every chat.
131 minutesUnderstand how a power user separates durable preferences from one-off context.
36 minutesConfigure personalization deliberately instead of letting memory, instructions and project context blur together.
22 minutesSee deep research and analysis modes applied to business research rather than only academic literature.
14 minutesScope a deep-research task, wait for the report, then verify citations and source quality before using it.
1 minutesNote one Study Mode behavior claimed in the announcement (for example guiding instead of dumping answers) - then check current product docs, since features change.
42 minutesSee how examples change model behavior and learn when few-shot prompting is worth the extra setup.
25 minutesYou will be able to place examples inside a fuller prompt structure and anticipate how they change what the model produces.
30 minutesUnderstand triggers, actions and simple automation flow before adding AI to a business process.
12 minutesDecide when an AI agent should own the trigger, reasoning and action instead of a plain Zap with an AI step.
15 minutesName one risk or concern the segment raises about AI chatbots that simulate a deceased loved one - without treating the podcast as clinical grief advice.
13 minutesUnderstand how integrated assistants can connect email, meetings and tasks into one reviewable work loop.
14 minutesIdentify practical AI email moves: summarize threads, draft replies, adjust tone and organize follow-up work.
28 minutesExpand NotebookLM from a summarizer into a repeatable research and learning workflow.
35 minutesBuild a source-grounded research notebook and turn it into briefings, study guides or working notes.
13 minutesYou can name the three risk surfaces generative AI adds at work — data, model, usage — and describe the controls each one needs.
11 minutesExplain why personal AI accounts create workplace data risk and how to set safer boundaries.
13 minutesName risks O'Neil associates with harmful scoring systems (for example opacity, scale, and damage) without treating the talk as a complete technical definition.
131 minutesLearn to route work across fast, cheap, deep-reasoning and source-grounded tools instead of using one model for everything.
17 minutesSee a structured comparison method you can reuse when deciding which model is good enough for a task.
131 minutesYou can recognize when to follow up, when to switch models and when to start a fresh conversation, calibrated against real day-to-day usage.
9 minutesYou can assemble task, context, exemplars, persona, format and tone into working prompts for everyday office tasks.
26 minutesRecognize reusable prompt patterns and combine them into clearer instructions, examples and evaluation steps.
8 minutesSummarize what the news segment claims the study found about AI-assisted writing - then treat replication and limits as open, not settled.
90 minutesUse AI for research, structure and revision while keeping final wording and judgment under human control.