AI DUNN Right Weekly - Issue #14

Big Story

When AI stops being a chatbot and starts running your business...

Here's what's happening that most people are missing: AI is shifting from something you talk to into something that actually runs your operations.

GumLoop is leading this shift, and it matters for anyone running a business.

Most AI tools today make you do all the thinking. You prompt, you supervise, you re-enter context every single time. That ain't automation. That's just outsourcing your typing.

The folks at GumLoop built something different. They're turning AI into an operational layer that handles real work without constant hand-holding.

Here's the key difference you need to understand:

Workflows are the predictable stuff. Data processing, scheduled reports, routine tasks. They're fast, cheap, and follow the same path every time.

Agents handle the judgment calls. They reason through ambiguity, choose which tools to use, and adapt based on what's actually happening.

GumLoop doesn't replace workflows with agents. It lets agents call workflows as tools.

Think about a calendar agent. Not just "add this meeting to my calendar" but an actual system that maintains your calendar based on your rules. It knows your working hours, your buffer requirements, what conflicts to flag. When someone asks to meet, it checks your constraints, proposes compliant time slots, and only then books the meeting.

You're not building flows in some UI anymore. You're designing systems.

Here's what this means for you...

the operators who win in 2026 won't be the ones with the most AI tools. They'll be the ones who know how to design AI systems that reduce manual decision-making over time.

Start thinking in responsibilities instead of tasks. That's where this is headed.

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What's New This Week

Nvidia just acquired their biggest threat

Nvidia licensed Groq's technology and hired their CEO Jonathan Ross.

Groq builds LPUs (language processing units) that run AI models 10x faster using one-tenth the energy compared to traditional GPUs. They raised $750M in September and power over 2 million developers.

CNBC says the deal is worth $20 billion. Nvidia says it's not acquiring the company, just licensing the tech and hiring key talent.

Either way, this is textbook competitive strategy: neutralize the threat before it becomes a problem, then integrate their innovation into your roadmap.

For business owners, faster and cheaper AI chips mean you can finally deploy AI in areas where cost or speed made it impractical before.

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AI Assistants are becoming platforms

Two announcements this week show where AI is going in 2026:

ChatGPT launched "Your Year with ChatGPT" - their version of Spotify Wrapped. Personalized awards, custom poems, shareable moments. OpenAI is turning ChatGPT into a social product to increase engagement and retention.

Amazon announced four new Alexa integrations: Angi, Expedia, Square, and Yelp. Book hotels, schedule appointments, find local businesses - all through conversation with Alexa.

Both companies are trying to become the interface layer for everything you do online. Instead of opening separate apps, you talk to AI.

The question is...will people actually change their behavior? Or will they stick with the apps they already know?

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Tool of the Week

Repurpost, Video To Blog, and Stravo AI

This week I'm highlighting three content repurposing tools that actually save time:

Repurpost turns your YouTube videos into Twitter threads. Drop in a URL, get a thread that matches your voice. No manual rewriting.

Video To Blog converts videos into blog posts using GPT. Same content, different format. Reach people who prefer reading over watching.

Stravo AI is an all-in-one content creation platform with custom brand voices. Create blogs, ads, social posts - all sounding like they came from the same strategic brain.

If you're creating video content and letting it sit in one place, you're leaving value on the table. These tools help you stretch one piece of content across multiple platforms without starting from scratch.

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Quick Hits Worth Your Time

→ AI-negotiated marketing is coming in 2026. Instead of fixed pricing and static discounts, AI will dynamically negotiate offers based on user behavior, willingness to commit, and budget signals.

→ Coffee shops are using AI to adjust background music tempo based on how fast they want customers to leave during rush hours.

→ AI can identify which museum paintings are most likely to be stolen by analyzing visitor gaze patterns and emotional responses.

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Prompt of the Week

Act as an AI workflow specialist. Create one organized, reusable prompt library for [MARKETING FUNCTION] that eliminates repetitive prompting and saves hours daily.

Essential Details:
- Marketing Function: [CONTENT/EMAILS/ADS/SOCIAL/SALES/SUPPORT]
- AI Platform: [ChatGPT/Claude/Gemini/Multiple]
- Use Frequency: [DAILY/WEEKLY TASKS]
- Team Size: [WHO USES IT + SKILL LEVELS]
- Quality Standard: [OUTPUT REQUIREMENTS + BRAND VOICE]
- Storage Method: [Notion/Google Docs/Airtable/Internal Wiki]
- Current Pain Point: [WHAT'S BROKEN WITHOUT THIS]

Create one complete prompt library including:
1. Category organization structure (logical grouping by function and use case)
2. 25 core prompt templates (covering all common marketing tasks)
3. Variable placeholder system ([BRAND], [PRODUCT], [AUDIENCE], [TONE])
4. Output quality checklist (what makes a prompt "good enough")
5. Version control method (track what works, retire what doesn't)
6. Team sharing protocol (who accesses what, how to contribute)
7. Quick-start guide (how new team members use the library)
8. Performance tracking (which prompts save the most time)

Output as: Ready-to-use prompt library with templates organized by category, accessible to entire team.

Stop reinventing prompts every time. Build your library once, use it forever.

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My Take

The biggest shift happening right now ain't about which AI tool is best.

It's about understanding that AI is moving from reactive to operational. From chatbots to systems. From tools you use to infrastructure that runs your work.

Most people are still stuck in prompt mode, asking AI for help task by task. The operators who get ahead will be the ones designing systems where AI handles entire workflows based on rules they set once.

That's a completely different way of working.

If you're still manually prompting AI for every single task, you're doing it the hard way. Start thinking about which parts of your work could be handled by an agent that knows your rules and just executes.

2026 is going to look different for operators who figure this out.

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That's it for this week!

What are you using AI for that actually saves you time?

Hit reply and let me know.

Jackie