The AI Inversion

Last week, Wharton released a report showing 75% of enterprises are seeing positive ROI from AI initiatives. That's the headline everyone celebrated.

Here's what they missed: They surveyed companies with over $50m in revenue and 1000+ employees.

This is typically how technology adoption goes. Enterprises take the building blocks - technology, data, APIs - and customize them into complex solutions. The rest of us are left using standardized tools built for everyone, which meant they were perfect for no one.

But eventually a inflection point happens. The pyramid is about to flip in AI.

The Chipp Flipp: Your Shopify Moment

Think about e-commerce before Shopify.

Previously, if you were Nike, you could build a world-class checkout experience. You had developers, infrastructure, decades of institutional knowledge. If you were my wife running a jewelry shop in downtown Fargo with a team of three, you had a janky PayPal link and hope.

Shopify flipped it. Suddenly the three-person jewelry shop could have a better checkout experience than Nike. Why? No legacy tech debt. No thousands of SKUs to migrate. No decades of integrations to maintain. Just focus, agility, and the best tools available to anyone.

Small became an advantage. We're at that exact moment with AI.

Enterprises have the budgets, but they also have the baggage. Decades of systems that don't talk to each other. Compliance layers built on compliance layers. Committees that need to approve every decision. The Wharton report highlights this as the larger enterprises have slower adoption than smaller enterprises.

You don't have any of that. You can move fast. You can deploy today. You can give your customers the best AI experience in your industry before any Fortune 500 figures out which committee needs to approve the pilot program.

The thing holding you back was that the "Shopify" of the AI age had yet to emerge. Until now - that is the Chipp Flipp.

Want to go deeper on the Chipp Flipp? Listen to the full keynote from Chipp Con: SC:

The Experience Advantage

Here's a stat that surprises everyone: Older people have higher success rates with AI than younger people.

This is the first time I can remember in the history of tech adoption that experience beats technical knowledge.

Why? Because knowing what to ask matters more than knowing how to code. Having the context to validate and judge the AI matters even more. If you've spent 20 years in hospitality, you know exactly what questions a guest will have at 2am. If you've been a teacher for a decade, you know how to guide someone to the answer without just giving it to them. If you've run a medical practice, you know what patients are terrified to ask their doctor.

Your expertise and your context is the competitive moat. AI just lets you scale it.

This makes you a powerful AI user but how do you give that same expertise and context to your customers? How do you let someone who doesn't know what questions to ask tap into your expertise? How do you deploy your knowledge at scale while controlling how it's shared, how it sounds, and how it represents your brand?

You need AI that's not just intelligent. You need AI that's native to your brand.

What Brand-Native AI Means

Brand-native AI is AI that looks, sounds, and shares like you.

Native to your brand. Not OpenAI's logo at the top. Not "Powered by ChatGPT" in the corner. Your company. Your colors. Your voice.

Native to your rules. Control who can access what information. Share proprietary research with members only. Give prospects just enough to get interested. Let employees see internal knowledge without exposing it to the world.

Native to your voice. A teacher who uses the Socratic method and won't just give you the answer. A hospitality agent that sounds warm and helpful, not robotic. A medical practice that speaks in plain language, not jargon that scares patients.

Native to your knowledge. There are three types of knowledge in AI: world knowledge (everything on the internet), company knowledge (your proprietary information), and personal knowledge (how you like to work). Brand-native AI lets you combine all three and deploy it exactly how you want.

When I talk to Don, he shares information filtered through his expertise, his personality, his judgment about what I need to know. That's how humans communicate. AI should work the same way.

When you have brand-native AI, something changes. You're not worried about it saying the wrong thing. You're not worried about it looking unprofessional. You're not worried about it sharing information you wanted to keep private. You're confident enough to actually deploy it.

The Updated Chipp Builder: Five Big Announcements

We built Chipp two years ago to solve a simple problem: People needed to build AI tools and charge for them.

We've grown up a lot since then.

70 million+ conversations. 18,000+ builders. Tools deployed in Slack, WhatsApp, websites, phone calls, even physical NFC stickers on stuffed animals in doctors' offices.

Today we're announcing the updated Chipp Builder. Five major updates that make brand-native AI easier to build and more powerful to deploy. Watch the highlights on YouTube.

1. Voice + Telephony

Every Chipp can now speak. Twelve different voices. Anyone can talk to your agent instead of typing.

More importantly: You get a real phone number. US and Canada to start. Anyone can call your agent and have a conversation. Your customer support line that never sleeps. Your therapy bot that's available at 3am. Your tutor that walks students through problems by voice.

Use cases are already wild. Consultants and coaches giving clients 24/7 access to guidance. Teachers creating voice tutors for students. Medical practices answering pre-surgery questions so nurses aren't overwhelmed.

My favorite: Kids who can't type fast enough. My ten-year-old daughter can talk to a voice agent and actually share what's on her mind. She told it about bullying at school—something she never mentioned to me. She can't type fast enough to have that conversation with a chat window. Voice unlocked it.

Voice isn't a nice-to-have. For some use cases, it's the only way that works.

2. Video Generation via Veo

Built-in video generation through Veo, powered by Google. Create up to eight-second videos from any prompt. Instagram reels on demand. Marketing material in seconds. Prototypes for client pitches.

It's functional and fun. You can build an agent that generates custom video content for your audience. A real estate agent showing property walkthroughs. A fitness coach demonstrating exercises. A marketing team spinning up social content without a production crew.

We didn't have "fun" as a vector on our positioning chart. But it matters. When something is fun, people actually use it.

3. Access to All Top Models

Here's the big one: ~25 models now available to every Chipp user. GPT-5. Opus 4.1. Gemini 2.5 Flash. Open source models.

Different models for different jobs. Fast models for real-time conversation. Deep reasoning models for complex reports. Long context models—we're talking 1 million tokens, which is 750,000 words, roughly ten novels worth of instructions you can give the AI before the conversation even starts.

Why does long context matter? Instead of uploading files for the AI to reference, you can paste entire documents directly into the system prompt. The AI has it immediately. No retrieval lag. Higher accuracy. Total control.

We thought hard about pricing tiers. Which plan gets which models? How much does video cost? What about voice?

Then we decided: Just give it all to everyone.

Every paid Chipp plan gets access to voice, video, and all models. Plans start at $29/month. You get built-in usage, and if you go over, you just pay for what you use.

You don't need to spend $299/month on ChatGPT Pro to access the best models. You don't need an enterprise contract. You pick the model that fits your use case. You pay for what you use. That's it.

This is how we bring software margins to service businesses.

4. Three Levels of Privacy + SOC 2 Type 2

If you're going to deploy brand-native AI, you need to trust it won't leak your information.

Three privacy levels, starting today:

Level 1: No training. Nothing you say on Chipp is used to train models. Ever. This has been true since day one. If you use ChatGPT, you need a paid plan and have to manually turn off training. Anthropic deletes your data after 30 days. Chipp never uses it. Easy.

Level 2: Zero Data Retention (ZDR). When you send a message to Gemini to get an answer, Google doesn't save it. No chat history on their servers. Your information passes through and disappears. If you need compliance, this matters.

Level 3: End-to-end encryption. Only the person you designate can see chat logs. For industries where compliance isn't optional, this is the unlock.

Also: As of two weeks ago, Chipp is SOC 2 Type 2 certified. We were monitored continuously for three months to ensure we follow security processes and document everything. When your IT person asks if Chipp is secure, the answer is yes. Visit trust.chipp.ai for details.

Security and privacy aren't blockers anymore. They're solved.

5. MCP (Model Context Protocol)

For the technical builders: Chipp now supports MCP.

Think of MCP as roads. Some are free, some you pay for, some are closed. MCP gives you access to every open road. Connect to HubSpot, Linear, Zapier, and dozens of other tools. Pull information from your CRM. Write back to it after a conversation.

"Update Scott's record to include the phone call we just had." Done.

If your tool doesn't support MCP yet, you can still connect via API. We have a client—a membership organization for car dealerships—that pulls live data from government APIs about pending legislation. Members ask, "What's the latest on the commerce subcommittee bill about dealerships?" and get the answer instantly, with sources.

AI isn't a tool anymore. It's a coworker. And coworkers use tools to get work done.

Easy AND Customizable

Most tools make you choose: easy or customizable. Not both.

ChatGPT is easy. Open the app, ask a question, get an answer. But it's standardized. You're on their platform. Their branding. Their rules. You can build a custom GPT, but sharing it is clunky and it still says OpenAI at the top.

n8n and similar workflow builders are powerful and customizable. But they're complex. Great for agencies. Overwhelming for most. And when something breaks in a long automation chain, good luck figuring out which node failed.

Chipp is easy and customizable.

One sentence builds an agent. "Create a conference guide for AI builders in Greenville that helps them find local spots and learn how to build tools." Sixty seconds later: full agent with a prompt, welcome message, logo, mobile app, and scraped knowledge from your website.

Out of the box, enjoy agents nearly as good as the agents our clients spend weeks building. You can tweak it from there, or just deploy it.

Once it's built, deploy anywhere: iframe on your website, chat widget, Slack, WhatsApp, phone number, progressive web app that lives on someone's phone like a native mobile app. Or go physical—NFC stickers that start a conversation when someone taps their phone.

We have a urologist client who gives patients a branded stuffed animal with an NFC sticker. Tap your phone to it, and a voice agent answers all your pre-surgery questions. Can I eat before the procedure? What should I bring? What time do I need to arrive? The nurse isn't overwhelmed with calls. The patient feels prepared.

Physical and digital together. Brand-native AI in the real world.

Get Started with Brand-Native AI

The updated Chipp Builder is now live. Try it today: chipp.ai

Over the coming days we will be showing you how to take advantage of these new superpowers. Subscribe to continue to learn

Join 18,000 Chippsters building brand-native AI: The tools are ready. The community is here. The only thing missing is you.

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