JUNE 11, 2025
3 Reasons You Have to Start Saving Your PromptsWhy Saving AI Convos Should Be Priority OneA fascinating legal case recently caught my attention, and it's got me thinking about something most of us do dozens of times a day: prompting AI tools. In Tremblay v. OpenAI, attorneys found themselves in court arguing over whether their ChatGPT prompts were discoverable work product. The judge ultimately ruled that prompts reflecting "mental impressions and strategies" deserved some legal protection, but those used to generate court exhibits remained fair game for discovery. The legal implications are significant—as Reuters recently reported, organizations are now scrambling to treat AI prompts like any other business record, complete with retention policies and legal hold procedures. But here's what struck me: while everyone's focused on the compliance angle, we're missing the bigger picture. Your prompts aren't just potential legal evidence. They're your intellectual property, your learning lab, and your pathway to professional growth. Whether you're worried about litigation or not, you should be saving every single one of them. Beyond Compliance: The Real Reasons to Archive Your Prompts1. Compliance (The Obvious One)Let's get the legal stuff out of the way first. If you use AI for work—and at this point, who doesn't?—your prompts and outputs could become discoverable in litigation. That marketing email you had Claude write? The contract analysis you ran through ChatGPT? The meeting summary your AI assistant generated? All potentially relevant in a lawsuit. But compliance isn't just about avoiding legal trouble. It's about being able to defend your work. If someone questions a decision you made based on AI analysis, you'll want to show exactly how you prompted the tool, what guardrails you put in place, and how you verified the output. The smart play is simple: treat your AI interactions like you would any other important business communication. Save them, organize them, and be ready to explain them. CLICK HERE FOR THE 2 NOT-SO-OBVIOUS REASONS82% of Small Businesses Believe AI Is Now a Must-HaveAnd Over Half Are Trying to Implement It — Are You?A recent survey by PayPal, conducted by Reimagine Main Street, has shed light on how small businesses are embracing AI to stay competitive and drive growth. Let’s get right to the key findings and discuss actionable steps you can take to leverage AI in your business. The AI Revolution in Small BusinessesThe PayPal survey, which included nearly 1,000 small businesses with annual revenues between $25,000 and $5,000,000, reveals some fascinating insights:
Segments Identified: The survey identified three distinct segments of small businesses based on their AI adoption status: “Active Users,” “Explorers,” and “Non-Users.” CLICK HERE FOR MORE INSIGHTS FROM THE SURVEYTHE HEADLINES
Build and Deploy Apps with No Code Through Macaly Macaly at a GlanceMacaly turns plain-English ideas—or even voice notes—into production-ready web and mobile apps. It’s aimed at founders, marketers, and prototypers who need working software fast without writing a line of code. :contentReference[oaicite:0]{index=0} How It Works & Core Use CasesYou describe the app you want (“Build me a two-page SaaS landing with user sign-up and Stripe billing”). Macaly’s agent drafts the entire codebase, spins up GitHub repos, and auto-deploys. It also watches the repo: when you log an issue in natural language, Macaly opens a pull request with a tested fix. Typical scenarios include rapid MVP launches, hack-day demos, and internal dashboards for non-technical teams. :contentReference[oaicite:1]{index=1} What’s NewVersion 1.3 (added June 2025) introduced voice-first prompting—speak your spec, get code in minutes—and tighter GitHub Actions integration for automated CI checks. The FutureTools community highlights its speed but also flags that it’s under review for aggressive upvote tactics, so expect scrutiny to drive further polish. :contentReference[oaicite:2]{index=2} Why It MattersCoding copilots are evolving from suggestion engines to full build-and-ship agents. Macaly demonstrates that shift, reducing the gap between concept and deploy to a conversational prompt. For businesses racing to validate ideas—or maintain small feature sites—it’s a glimpse of software development where product thinking, not syntax, sets the pace. Read All mAIn Street Back Issues HereYour input fuels the content. Let me know how I did today! |
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JUNE 13, 2025 🔄 Newsletter Copy Specialist Prompt THE HEADLINES Yobi Gives the Power of AI Agents to SMBs 🔄 Newsletter Copy Specialist Prompt Use-case: drafting a customer-facing monthly newsletter. These are great ways to promote your business, regardless of industry. As it turns out, a really well-constructed prompt can take a lot of the legwork out of it for you. Here's what I've got for you. Copy and paste the following into the LLM of your choice: Role & Goal You are a Newsletter Copy...
JUNE 12, 2025 How Gemini Made Me Like Gmail Again THE HEADLINES Jsonify Provides Structured Data with Virtually No Oversight Gemini Made Me Like Gmail Again The Exact Steps That Gave Me My Inbox (and Sanity) Back Like many of you, my life and work operate out of more than one primary inbox. One of those, for me, is Gmail. Approximately 1.8 billion of you are the same way, according to numbers released by Google in April 2025. Unfortunately, many of the messages I get on there are...
JUNE 10, 2025 What Is Inverse Prompting—And Why Should You Care? What Apple's 'Anti-Reasoning' Research Misses THE HEADLINES Read, Annotate, Understand Research Papers with AI What Is Inverse Prompting—And Why Should You Care? Chapter 1 Excerpt from Becoming Irreplaceable: How We Evolve in the Age of AI Most people treat AI like a vending machine. You punch in a request—social media post, email draft, a quick summary—and out it comes, neat and fast. That works. But if that’s all you ever do...