Accelerated Velocity

California has become the first state to regulate companion-based AI, targeting chatbots marketed for emotional support or mental health. While the focus is on protecting children and vulnerable users, it's also a sign of what's to come. Much like the evolution of email and browser privacy laws, businesses may soon face a patchwork of AI compliance standards across states and countries.

Grace and Peter discuss what this means for businesses using AI tools, ChatGPT's recent marketing flop, and how conversational AI can actually help uncover emerging technologies that don't surface in traditional search. From regulation to discovery, this episode explores the changing ways AI is shaping both business and creativity.

Chapters:

00:14 – California's new Companion AI law

02:36 – Implications for business and compliance

04:10 – ChatGPT's failed ad campaign

06:44 – Balancing AI use with human creativity

08:10 – AEO vs. SEO

09:50 – Discovering Twins.ai through ChatGPT

12:01 – Using AI for smarter research & tool discovery

Sources:

"California becomes first state to regulate AI companion chatbots" by Rebecca Bellan for TechCrunch

"OpenAI Just Flunked Marketing 101" by Mark Ritson for Adweek

Micro-SaaS developers are churning out thousands of new AI-powered apps–but does this indicate a true turning point, or another fad? In this episode of Accelerated Velocity, Grace and Peter revisit the fast-moving world of these small, focused software products. 

This episode unpacks what's driving the Micro-SaaS boom, where consolidation might happen, and how businesses can stay strategic while experimenting with new tools It also dives into real-world examples of Micro-SaaS innovation, including platforms like Replit, Lovable, Carrd, and Bolt, exploring how these lightweight tools could integrate with CRMs like HubSpot to centralize operations and streamline workflows.

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🕒 Chapters

01:03 – The Micro-SaaS explosion: trend or bubble?

02:48 – App Overwhelm

04:31 – Learning from AI product failures

06:22 – Why website builders dominate the Micro-SaaS wave

07:02 – The rise of no-code app creators

08:00 – From HubSpot integrations to agentic AI

08:48 – Wrap-up and what's next

AI tools are helping businesses move faster than ever, but are they also driving us apart? In this episode of Accelerated Velocity, Grace and Peter explore a growing culture of avoidance fueled by AI. The conversation isn't about rejecting new technology, but about recognizing when to lean on your team, colleagues, and community.

Proactive communication, collaboration, and knowing when to ask for help have always been valuable skills. Today, they're becoming true differentiators in workplaces where AI overreliance is common. You'll hear real-world examples of both the risks and opportunities AI creates, along with practical ways to restore authentic collaboration, connection, and creativity in your work and team culture

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00:54 – Is AI driving us apart from other humans?

01:51 – From classrooms to boardrooms: the avoidance effect

04:38 – In-person events & the value of human connection

06:15 – Why human talent matters more than ever

07:52 – Remote work, team communication, and facing challenges head-on

10:26 – Practical ways teams can rebuild connection

12:39 – Final Takeaways & Gentle Reminders

In this episode of Accelerated Velocity, we explore the fast-growing trend of Micro-SaaS products–niche software often built by solo founders or small teams. We explore what sets Micro-SaaS apart from traditional SaaS, how AI makes these rapid launches possible, and why the startup ecosystem is shifting as a result.

You'll hear real-world examples, the key factors that drive growth, and why agencies, developers, and even consumers should be paying attention. Whether you're thinking about building your own product or just curious about the future of software, this bite-sized episode has insights to help you stay ahead.

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00:00 – Welcome to Accelerated Velocity

01:26 – What is Micro-SaaS?

03:16 – Micro Teams & Market Niches

05:23 – From MVP to Full SaaS

06:06 – Examples of Micro-SaaS in Action

08:21 – Building Fast & Smart

09:35 – Consumers: Your Impact on MicroSaas

11:22 – What's Next?

A couple weeks ago, Peter headed to INBOUND 2025–HubSpot's annual conference and the biggest event in business development. Episode 19 of Accelerated Velocity, which we recorded during the tail end of INBOUND, covers all you need to know from the event–offering value not just to HubSpot users, but anyone who wants to keep up with the latest trends in AI and business development.

0:01 – Welcome from San Francisco

2:34 – HubSpot's AI-Centered Updates

4:15 – Marketplace, Marketing Studio & Data Hub

6:32 – Events, Noise & the Human Connection

11:17 – AI Ethics, Trends & Final Takeaways

Websites are seeing a 25% drop in referral traffic across the board, with AI search results to blame. This episode breaks down the negative impacts of Google's AI Overview with updated tips on how to tackle these challenges. After, learn about context engineering and how you can use it effectively for beter results on GPT-5 and other LLMs. Stick around until the end for a totally irrelevant highlight on a thoroughly unsettling AI chatbot made for kids.

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Chapters:

01:00 – Google's AI Overview & a 25% Drop in Referral Traffic

03:18 – The Future of SEO & "Search Everywhere Optimization"

06:19 – DOJ vs. Google: Antitrust Impacts on Search

08:00 – Context Engineering & GPT-5 Updates

13:32 – Meet Grem: The AI Stuffed Animal

Sources:

"Google AI Overviews linked to 25% drop in publisher referral traffic, new data shows" By Jessica Davies for Digiday

"GPT-5 Context Window Limits and Usage in ChatGPT and API" by Shivam Malani for All Things How

"They're Stuffed Animals. They're Also AI Chatbots." by Amanda Hess for The New York Times

Recruiting leader Annemarie Penny wants people to reframe their thinking around AI–because technology doesn't work without humans. Our first ever podcast guest shares where we are now and where we're going when it comes to AI in recruiting, hiring, and career development. Listen for expert insights on navigating AI transformation, from building a "digital twin" to protect your professional identity to following a human-first approach to innovation.

Penny is the CEO & founder of the Forbes-ranked recruiting firm Dreamore.

Connect with her on LinkedIn or find her pretty much anywhere else on the internet.

00:56 – Introducing Annemarie Penny: Recruiting Leader & AI Innovator

05:04 – AI in Recruiting: Why the Human-First Approach Still Wins

07:35 – AI Hype vs. Reality: Lessons from the Dot-Com Era

10:54 – The Future of Work: Learning from Past Innovations

15:22 – Balancing Technology with Human Connection

19:11 – Digital Twins & Taking Control of Your Professional Identity

20:50 – Career Development in the AI Era: Skills, Learning & Staying Relevant

As of July 2025, Instagram posts are now indexed by Google. Grace and Peter break down how brands should adjust their content strategy accordingly. Plus, a look at the other platforms showing up in search results, and signs that ChatGPT is sourcing answers from Google. The evidence is clear: social media, search engines, and LLMs are becoming increasingly intertwined. Listen to find out what this shift means and how to respond.

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Chapters:

01:36 – Instagram Posts Now Indexed by Google

03:49 – Why B2B Should Reconsider Instagram

05:25 – ChatGPT Might Be Using Google Snippets

07:26 – SEO + AEO = Unified Strategy

08:10 – New AI Search Browser: Comet by Perplexity

08:52 – Does Search Convergence = Less Work?

10:30 – The 80% Stat That Should Scare News Sites

11:17 – What Non-SEO Experts Can Do

Sources:

"Instagram Posts Can Now Rank on Google (And Why That Changes Everything)" by Annie-Mai Hodge for Atlas SEO

"Confirmed: ChatGPT uses Google SERP Snippets for its Answers [A Test with Proof]" by Aleyda Solis for aleydasolis.com

Poor email performance isn't just a content problem. An outdated contact list and bad sending strategy can tank your email results and put your sending domain at risk down the road. In this episode, Grace and Peter break down why ignoring your email deliverability is one of the most common (and costly) mistakes in marketing. They walk through a real-world case study showing why so many email campaigns result in low open rates.

You'll learn how to identify deliverability issues and improve results by validating and segmenting your email list. With this step-by-step approach, your email will get past spam filters, promotions tabs, and ultimately see better performance from start to finish.

This episode is a must-listen for anyone using email marketing as part of their business development strategy.

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Chapters

00:00 – Intro

01:23 – Today's focus: Email health and why it matters

02:30 – Case study: When 100% of Gmail emails go to spam

05:00 – What inbox placement tests reveal

06:48 – What is email list validation and how it works

08:26 – Segmentation strategies that drive results

09:49 – Why unsubscribes aren't a bad thing

10:28 – Top mistakes causing poor email health

12:00 – Organic list-building vs. purchased lists

13:30 – How to grow better email lists organically

Businesses are finding that AI hallucinations can lead to disinformation about their services. One brand responded creatively when ChatGPT made up a feature they didn't actually offer. From navigating AI mishaps to fielding PR disasters, Grace and Peter explore how unexpected business challenges can lead to growth opportunities. They also dive into the growing issue of scam job applications generated by AI, the difficulties businesses face with secure AI implementation, and the rising trend towards custom AI solutions.

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Chapters

00:00 – Welcome & Episode Overview

01:30 – Soundslice's creative response to AI misinformation

03:45 – Brand Adaptation: Lessons from Domino's Pizza

05:20 – AI Hallucinations & Why You Should Monitor Your Brand Mentions in AI Tools

06:30 – AI Job App Scam: Bots & Deepfakes

07:30 – The Real Problem with AI Implementation

09:10 – Consistency: The Biggest Barrier to Effective AI

10:30 – Why Small, Purpose-Built AI Tools Work Best

11:20 – AI Subscription Trends: Free vs. Paid Tools

12:00 – The Overload of AI Tools & Integration Challenges

Sources

"ChatGPT made up a product feature out of thin air, so this company created it" by Benj Edwards for Ars Technica

"Why Some Companies Are Canceling ChatGPT Subscriptions" by Aaron Holmes for The Information