OCTOBER 1, 2025

PromptCraft: OpenAI releases prompt packs for HR and general use; Prompt managers compared; and how to fix ChatGPT quality downgrades in long chats; plus, use Chaos Theory to your AI advantage!
NewsDive: Where AI Actually Stands in 2025: 13 Stats on How Organizations Are Using It, and What's Holding Them Back
THE HEADLINES: Sora 2 released, OpenAI is prepping an AI-powered TikTok competitor, Newsom signs AI safety bill into law, Walmart CEO issues AI prediction, and more players take shots at AI actress Tilly Norwood
Tool Spotlight: Oreate Turns Simple Prompts Into Polished Work Products

OpenAI releases prompt packs for HR and general use; Prompt managers compared; and how to fix ChatGPT quality downgrades in long chats; plus, use Chaos Theory to your AI advantage!

Why ChatGPT degrades in long chats (and a 2-minute fix): Explains “conversation drift” when mixed instructions accumulate. Offers three resets—start a fresh chat, issue a full override, or scope the model to the current message only. Also flags conflicts from persistent custom instructions and suggests A/B testing against a new thread.
OpenAI Academy: ChatGPT for HR prompt pack: Role-tailored prompts for HR teams: analyze exit surveys, assess attrition datasets, draft internal policies, outline DEI workshops, and more. Useful as drafting scaffolds—but many tasks involve sensitive data, so pair with privacy/compliance review and human oversight.
OpenAI Academy ‘Prompt Packs’ directory: Central hub for role-specific prompt packs (sales, product, engineering, HR, managers, executives, etc.). Each pack lists ready-to-run prompts plus “Try it in ChatGPT” links, giving teams repeatable starting points for research, planning, comms, and analysis.
Prompt managers compared: AIPRM, PromptBox, PromptHub, Nutkin: Hands-on comparison: AIPRM = huge library; PromptBox = tidy personal storage; PromptHub = team collaboration; Nutkin = analytics/rated community. Helpful to decide between volume, organization, collaboration, or results tracking; notes trade-offs like pricing and missing features.
Chaos Interaction Protocol (CIP) mega-prompt: Structured “chaos theory” workflow: define attractor → generate divergent scenarios → run stress-tests/feedback loops → extract patterns → optional randomized sweep → lock into an execution plan. Great for exploring uncertain spaces while still converging to concrete actions.

Where AI Actually Stands in 2025

13 Stats on How Organizations Are Using It, and What's Holding Them Back

IDC and SAS just dropped their global Data and AI Impact Report. It’s 29 pages of AI goodness that observes where 2,375 respondents are in their AI adoption.

There’s a lot of red meat in there to chew on, but today, and for the sake of my own time and sanity, I’d like to focus on what kinds of AI are being used and why it matters.

All figures below come directly from the chart on page 6 of the report.

When you find the time, give the entire thing a read, and let me know where you fit into the numbers. But, for now, let’s break out the microscope.

What teams are really using (and why it matters)

Generative AI, 81%

Tools like ChatGPT, Claude, Gemini, and Copilot, are now embedded into our daily work. GenAI creates new content quickly (text, images, code), so humans can edit and approve.

In a customer contact center, it produces first-pass email and chat replies that agents refine. Response times drop and tone gets more consistent.

In sales and marketing, it assembles localized one-pagers from your product library and style guide, so reps don’t have to reinvent the wheel every time they follow up with a client or lead.

In IT, developers can use it to spit out test cases and SQL starting points, then tighten the logic in review. The common thread is speed to a working first draft that professional expertise can then finish.

Traditional (predictive) AI, 66%

This would be models that can forecast, score risk, and classify. Retailers use demand forecasting to reduce stockouts and overtime, because the model learns from seasons, promotions, and local quirks.

Banks run anomaly detection to flag suspicious transactions, resulting on dollars and time saved. Subscription businesses can combine churn-risk scores with “next best offer” suggestions to ensure teams are contacting the right people with the right incentives.

Agentic AI, 52%

“Agents” are software teammates that can take multi-step actions across your tools to reach a specific goal.

(Not just answer a question.)

An agent that does insurance claims intake can read PDFs, check policies, update the core system, and draft customer emails for human workers to proofread and approve.

In revenue ops, an agent might pull CRM stats, build a tailored sales deck, book a calendar slot, and open a legal-review ticket. HR agents might screen resumes, produce a shortlist, schedule interviews, and post status updates to candidates.

Agentic AI is perfect for when processes are clear and systems are connected. Otherwise, they might stall or hallucinate.

Quantum AI, 30%

As you can see from the stat, quantum computing is on its way and already making waves with artificial intelligence with the right use-cases.

This is an experimental lane, but it can be great for hyper-optimization and simulation problems.

Logistics teams might test quantum-style routing to juggle traffic, truck capacity, and delivery windows.

Asset managers could explore portfolio optimization on hard-edge cases where traditional solvers bog down.

In life sciences, researchers might simulate molecules to prioritize which compounds deserve lab time.

Useful to watch, but still extremely early in its development. But in tech, “early” can mature very quickly. Bain & Company estimates quantum becoming mainstream in the next five to 10 years.

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HIGHLIGHTS: Sora 2 released, OpenAI is prepping an AI-powered TikTok competitor, Newsom signs AI safety bill into law, Walmart CEO issues AI prediction, and more players take shots at AI actress Tilly Norwood

Oreate Turns Simple Prompts Into Polished Work Products

Oreate is an all-in-one AI workspace that turns a simple prompt into polished slides, research reports, or academic essays in minutes. It pairs consultant-style structure with automatic formatting, clean layouts, charts, and cited sources, making it handy for pitch decks, business proposals, marketing plans, and study projects alike.

Standouts include one-click slide/report generation, strong research and visualization, and a focus on “office-suite” depth rather than scattered features. Early feedback highlights fast turnaround and shareable outputs, with upcoming additions like AI image, podcast, and video tools—and data-friendly workflows (e.g., importing spreadsheets to generate analysis and presentations).

Learn more: https://www.oreateai.com/home/index

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mAIn Street #101: Sora 2 released; OpenAI is prepping an AI-powered TikTok competitor; Oreate Turns Simple Prompts Into Polished Work Products; Where AI Actually Stands in 2025 Study

OCTOBER 1, 2025

Where AI Actually Stands in 2025

13 Stats on How Organizations Are Using It, and What's Holding Them Back