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The full PromptHacker library grows with Weekly Briefings, Deep Dives, Courses, Skills, and Benchmarks.
A CMO at a 60-person SaaS company uses ChatGPT every day. He re-explains his company, product, team structure, preferred tone, and current priorities at the start of almost every session. He estimates 5-10 minutes per conversation on setup context before he gets to the actual work.
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Why the "re-briefing tax" is the biggest hidden cost in how most executives use ChatGPT
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A sales director at a mid-sized professional services firm starts every Monday the same way. He checks Slack, reviews his calendar, reads through last week's email thread, pulls up the OKR tracker, scans his notes doc. By the time he is oriented, it is 9:45. He has been in the office since 8:30.
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Why most executives lose 30-45 minutes every Monday to unstructured orientation work
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Kids create a hands-on AI project: Ask AI to Explain Your Favorite Topic 3 Ways: A New Year Activity for Kids 8-16. A parent or educator helps them build, test, and explain what the AI tool gets right and wrong.
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Kids create a hands-on AI project: Mastering Context Windows: The Art of Prompt Compression. A parent or educator helps them build, test, and explain what the AI tool gets right and wrong.
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Modern LLMs now boast context windows exceeding 100k tokens. However, simply dumping a massive PDF into a prompt rarely yields high-quality results. The "Lost in the Middle" phenomenon is real: models often prioritize information at the very beginning and very end of a prompt, ignoring the "mushy middle."
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The exact prompt structure that converts any task list into a prioritized AI action plan
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Why year-end wearable data is the most valuable health input most people never use
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A product manager needs a 15-second animated explainer showing how their platform routes data between three systems. The traditional path: write a brief, find a motion graphics vendor, wait 2 to 4 weeks, pay $500 to $2,000. Total time: one month.
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Day 3 of OpenAI's 12 Days event brought Sora, the text-to-video model in closed beta since February. Day 9 brought ChatGPT Projects, a feature that organizes conversations by topic with persistent context and file storage. Two different capabilities with different audiences.
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On December 5, 2024, OpenAI retired o1-preview and replaced it with the full o1 model for all ChatGPT Plus subscribers. The same day, they launched ChatGPT Pro at $200 per month: a new tier that delivers unlimited o1 access, extended thinking mode, and priority access to future model releases.
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Kids create a hands-on AI project: Build a Teachable Machine Image Classifier With Your Kid. A parent or educator helps them build, test, and explain what the AI tool gets right and wrong.
Read more How to extract key health metrics from your iPhone and Apple Watch without complex data exports.
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Speed is the silent cost of every AI automation workflow. The faster a model returns results, the more iterations a team can run in a day. The difference between a 5-second response and a 10-second response is not significant on a single query.
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How to use Projects for client work, departmental management, and strategic planning
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December 2024 is the most concentrated month of AI releases in the industry's history. OpenAI is running a 12-day event from December 5 through December 16 with daily product launches. Google's Gemini 2.0 preview arrives December 11. The OpenAI o1 full model and ChatGPT Pro at $200 per month are already pre-announced.
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Kids create a hands-on AI project: Build a Teachable Machine Image Classifier With Your Kid. A parent or educator helps them build, test, and explain what the AI tool gets right and wrong.
Read more How to extract key biometric trends from your iPhone and Apple Watch in under sixty seconds.
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When Anthropic launched the computer use beta in November 2024, the first wave of testing produced mixed results. Form fields were inconsistently detected. Multi-step workflows stalled when a page rendered differently than expected.
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Every operations team has a list. Not a list they talk about in strategy meetings, but a list of repetitive data entry tasks that consume 15 to 30 minutes per occurrence and happen multiple times each week. Vendor registration forms. Benefits portal updates. Government compliance filings.
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Every executive responsible for cloud AI costs has felt the same pressure. The models that produce the best outputs are not the cheapest ones. The cheapest models require more prompt engineering and produce inconsistent results on complex tasks.
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Most organizations using Amazon Bedrock route all tasks to a single model. They picked a model that produces acceptable outputs, set it as the default, and moved on. This works. It also means they are paying Nova Pro prices for tasks that Nova Micro would handle just as well at roughly 23 times lower cost per token.
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Kids create a hands-on AI project: Build a Teachable Machine Image Classifier With Your Kid. A parent or educator helps them build, test, and explain what the AI tool gets right and wrong.
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