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ChatGPT's Nice Phase Ends + A Smarter Explainer Stack

OpenAI dials back ChatGPT’s people-pleasing glitch while this week’s stack helps you explain products that actually make sense.

Author

Brooks Conkle
May 06, 2025 • Estimated Reading Time: 7 minutes

In partnership with

This week, we’re breaking down why ChatGPT got too agreeable—and what OpenAI’s doing about it—plus a 3-step AI stack to help you build product explainers that actually click with customers.

Insight, tools, and a workflow you can use right away!

OpenAI Pulled Back. Amazon Pushed Forward.

Last week, OpenAI admitted something weird was happening.
ChatGPT got too agreeable.

Even in moments that needed pushback, it just smiled and nodded.
Turns out, their update leaned too heavily on thumbs-up feedback—
which rewarded flattery instead of real usefulness.

If you’re using ChatGPT to brainstorm or challenge your ideas,
you don’t want it telling you everything sounds great.

OpenAI’s fixing the signals behind the scenes,
and future updates will roll out through opt-in alpha tests.

Meanwhile, Amazon launched its best so far: Nova Premier.

It’s built for complex tasks—think huge documents,
multi-step agent workflows, and cross-media input (text, images, video).
With a million-token context window, it can hold a lot in memory.

Even better? It “teaches” smaller models like Nova Pro and Lite.

So while OpenAI adjusts tone, Amazon’s scaling up power.
Two different approaches—but both shaping how we build with AI next.

What This Means for Us Entrepreneurs

It really matters for us to be wary about how we interact with AI.

Here’s why:

  • AI tools are only as useful as the signals we feed them. If we reward politeness over precision, we risk building systems that echo us instead of challenge us.

  • When AI starts to agree with everything we say, it stops being a creative partner and turns into a mirror. That’s dangerous for decision-making.

  • On the flip side, chasing the most powerful models without knowing what we actually need can lead to bloated workflows and wasted spend.

  • Tools like Nova Premier are impressive—but they only make sense if the problem actually calls for that kind of scale.

The takeaway? AI isn’t magic. It reflects how we use it.
Stay curious, ask harder questions, and pick the tool that tells you the truth—not the one that flatters your instincts!

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🧠 This Week’s Practical Use Case

Explaining what your product does is one thing.
Helping people get it instantly? That’s what converts.

This 3-step AI stack helps you create crystal-clear product explainers—
with visuals, voice, and messaging that actually connect.

From idea to interface to interactive support—here’s how to do it smart:

Step 1: Build the Message

Tool: Lovable

Lovable helps you quickly create a product page, sales copy, or explainer script—without hiring a team. Just describe your product, and it maps out a persuasive flow.

✅ Instantly generates product overviews and feature blurbs
✅ Designed for speed and clarity
✅ Great for testing messaging on the fly

👉 Why you need this: It gets your product pitch out of your head and into a clean, compelling format—fast.

Step 2: Design Visuals to Match

Tool: Ideogram

Ideogram turns your descriptions into branded visuals, icons, or diagrams. Great for supporting product walkthroughs, onboarding flows, or “how it works” illustrations.

✅ Turns ideas into visuals instantly
✅ Stylized for tech, startup, or e-commerce vibes
✅ Perfect for landing pages and slide decks

👉 Why you need this: Visuals make your message stick. These help you say more without more words.

Step 3: Add a Conversational Demo

Tool: Vapi

Vapi lets you build a voice-powered chatbot that lives on your site. It answers questions, guides users through features, or even handles FAQs—like a support rep who never sleeps.

✅ Natural-sounding voice conversations
✅ Easy to train with your content
✅ Great for onboarding, demos, or lead gen

👉 Why you need this: Visitors shouldn’t have to dig for info. Let them ask, and let Vapi answer—in real time.

Sidenote: here are a few more newsletters you’ll want to follow in the space.

Why This Works

Most people think building a product explainer means picking a template, writing some bullet points, and hoping it “feels right.”

But if you want users to understand your product—and trust it—your messaging, visuals, and delivery all need to line up.

This stack doesn’t just explain your product. It gives people reasons to care.

You’re shaping clarity before you ever design
✨ Lovable forces you to articulate what your product actually does—for real people, not just pitch decks. You’re building with clarity first, so everything that follows hits harder.

You’re translating ideas into visuals without the wait
✨ Ideogram removes the design bottleneck. You’re not just making things look pretty—you’re reinforcing meaning. That’s the difference between a scroll-past and a lightbulb moment.

You’re meeting people where they have questions
✨ Vapi turns your static page into a conversation. Instead of hoping people read everything, you’re giving them a voice-guided shortcut to the info they need.

This isn’t about having an explainer video or a slick landing page.
It’s about building trust in the first 15 seconds.

When people get it, they stick around—and they convert.

Got a favorite tool for explaining what your product really does?
Hit reply—We’d love to check it out. See you next week! 🛠️✨