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Welcome to this week’s issue of The AI Space Podcast Newsletter. As AI adoption accelerates in 2026, The AI Space Podcast | Season 2 | Episode 4 is now live.
Kellye Camp, Founder of SourceKamp Labs, joins us for a practical and thought-provoking conversation on how AI is reshaping work, creativity, and long-term relevance. Kellye shares her journey across multiple careers, why mindset and curiosity matter more than age in the AI era, and how leaders can use AI responsibly to automate workflows, extend judgment, and stay adaptable as technology accelerates.
The discussion explores real-world use cases, the importance of business fundamentals before adopting AI, and why experimentation, discernment, and human oversight remain critical as tools become more powerful and realistic.
Kellye also explains why Gex X have a real edge into the transition to AI. Tune in to the episode to learn how to turn your expertise and skills into AI superpowers.
Learn to play and find micro improvements in your business that will drive impact and ROI:
Learn → Iterate → Systematize → Execute → Scale → Optimize
I hope you gained a wealth of game-changing, real-world insights to grow, transform, and scale to new levels and dimensions by leveraging AI.
Thank you for being part of the community.
Sanjay Kalluvilayil
Creator & Host
The AI Space Podcast
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EVENT LAUNCH - NETWORKING & LIVE PODCAST
This Week’s Conversation:
Gen X Solopreneuers: Reinventing Careers with AI |
Kellye Kamp | Founder | SourceKamp Labs | 4K
💡Episode #4 - Executive Summary
Kellye Kamp, Founder & CEO of SourceKamp Labs explains why Gen X solopreneurs have a real edge in the AI shift and how to reinvent your career without getting overwhelmed. Kellye breaks down why learning generative AI is no longer optional, why the traditional 9 to 5 is weakening for many, and why the smartest move is to start small, stay curious, and build practical workflows that compound. She also shares how executives can organize knowledge in one place, pull the right context on demand, and rapidly turn ideas into lightweight tools without needing deep engineering skills.
INSIGHT #1
Reinvent - Translate Domain Expertise into AI Advantage
Our guest dropped this truth bomb: your years of domain expertise are worthless if they're locked inside your head. The leaders winning right now are using AI to transform their knowledge into repeatable assets—think frameworks, tools, and services that work while they sleep. Stop trading time for money and start building leverage.
INSIGHT #2
Experiment - Start by Playing, then Systemize
Here's the move: start small, stay curious, and give yourself permission to play. The leaders building confidence with AI aren't waiting for the perfect use case—they're running low-stakes experiments, capturing what works, and turning those wins into simple, repeatable systems. Momentum beats perfection every time.
INSIGHT #3
Execute - Focus on Business 101 and Value Creation
This one hit hard. Before you chase the next shiny AI tool, get crystal clear on Business 101: Who is this for? What problem does it solve? Why does it matter? Our guest reminded us that AI should accelerate execution, not complicate it. Measure success by real value created, not by how many tools you've stacked in your workflow.
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🛡️Key Frameworks, Risks & Concepts
Ethical AI, Automation & Model Behavior
Responsible AI & Development Considerations
AI Is a Tool, Not the Decision Maker
Kellye's analogy hit perfectly: AI is like a tool or a weapon, the outcome depends on who's using it and what guardrails they set in place. Stop treating it like it makes decisions for you. It doesn't. You do.
Business Clarity Beats Cool Tech Every Time
Winners define the actual business problem before touching any AI tool. AI accelerates execution and slashes costs, but it can't fix fuzzy goals or replace strategic thinking. Get clear first, then get fast.
Not All AI Tools Are Created Equal (Guardrails Matter)
Kellye shared a story about an open-source image tool generating explicit content from an innocent prompt. It changed her entire approach. The difference between closed models with built-in safeguards and open-source tools? Bigger than most people realize.
Start Small, Scale Smart
The gap between playing with AI and using it as a real business tool? Experimentation that leads to systems. Start with shortcuts, run small experiments, capture what works, then build repeatable workflows. Don't boil the ocean on day one.
AI Risks & Model Limitations
Your Common Sense Is the Last Line of Defense
AI-generated video is so realistic that traditional detection methods are failing. Kellye's warning: as synthetic media becomes indistinguishable from reality, your judgment and critical thinking might be all that stands between you and getting fooled. Trust your gut.
AI Gets It Wrong - Always Double-check
Even with guardrails, AI hallucinates and generates confident-sounding nonsense. Kellye was adamant: you own what you publish. Verify outputs, question results, and stay accountable. The AI didn't make the mistake, you did if you didn't check it.
You're Training the Algorithm (Whether You Know It or Not)
Every click and engagement teaches the algorithm what to feed you next. Managing your inputs, what you consume, interact with, and allow for training—isn't paranoia, it's strategy. Be intentional or let platforms decide for you.
Turn Off Data Sharing (Seriously, Do It Now)
Most people ignore privacy toggles in tools like ChatGPT. Disabling data sharing for training is simple, but rarely done. Your data is valuable, so stop giving it away by default.
AI for Productivity & Business Scaling
Stop Chasing Magic Buttons, Start Automating the Boring Stuff
Kelly's advice for SMBs: forget the moonshots. Find repetitive tasks eating your time and automate those first with simple systems. The ROI isn't in flashy demos, it's in reclaiming 10 hours a week from work that shouldn't require a human brain.
"Vibe Coding" Is Real (And You Don't Need to Be Technical)
Kelly built a custom TikTok transcript app in hours using Lovable, no coding, just describing what she wanted and iterating. You can build custom tools by explaining your vision instead of learning JavaScript. The barrier to entry just collapsed.
Your Next Hire Might Be an "AI Organizer"
AI makes creating content easy, but now we're drowning in it. Kelly predicts "AI organization" will become a real job title as teams struggle to store, tag, and retrieve mountains of generated content and prompt libraries. Creation is solved, Organization is the new bottleneck.
Connectors Are About to Change Everything
The real unlock? ChatGPT connected to Notion, Gmail, Google Drive, HubSpot, and your entire workflow. Connectors are the next productivity wave, letting you pull information and take action across platforms without context-switching. This is where efficiency scales.
AI Creativity: Image & Video Generation
🌐Resources & Platforms Mentioned
ChatGPT
AI large language model developed by OpenAI that engages in natural conversation, generates human-like text, and assists with writing, analysis, coding, and problem-solving across diverse topics.
Claude
AI large language model developed by Anthropic, designed for natural conversation, advanced reasoning, and safe, context-aware assistance across writing, analysis, and coding tasks.
Connectors (ChatGPT feature) - Now called Apps
Connect ChatGPT to external tools (e.g. Notion, Google Drive, Gmail, and HubSpot). Retrieve documents, trigger workflows, and work across systems inside the chat.
Coursera
Kelly references using an online AI course to learn ChatGPT and prompt engineering early on and accelerate her learning curve.
Gemini 3 (Google)
Mentioned as a Google’s LLM option, alongside other models, for different use cases.
Gmail
Mentioned as a connector target for retrieving emails and working faster inside ChatGPT.
Google Drive
Mentioned as a connector target for file access and retrieval inside ChatGPT.
HubSpot
Mentioned as a connector-supported platform (and discussed as part of the broader connectors trend).
Lovable
Vibe coding tool used to build a custom app (TikTok transcription workflow) through prompting and iteration.
Midjourney
Mentioned as an AI art tool Kelly has experimented with.
Kling
Mentioned as a creative generation tool for testing visual outputs.
LinkedIn
Highlighted as a key business networking platform for connecting with guests, promoting episodes, and engaging with professional audiences.
Perplexity AI
AI-powered search and answer engine that delivers concise, cited responses by combining large language models with real-time web data. Mentioned as a research tool where factual inaccuracies and misquotations can occur if outputs are not carefully verified.
NightCafe
Mentioned as an AI image experimentation platform (used for testing outputs and creative generation).
Notion
Used as a “warehouse” for data, documentation, CRM-like tracking, contracts, and organized knowledge management.
Podcasts - Spotify & Apple
Mentioned as primary podcast distribution platforms for reaching broader audiences.
Runway
Mentioned as a creative generation tool for testing visual outputs.
TikTok
Social media platform as a business research and insight source; the episode discusses organizing saved content and extracting transcripts.
YouTube
Google’s global online video sharing platform for uploading, viewing, rating, sharing, and commenting on content, with tools for podcast hosting, premiere scheduling, and a new creator collaboration feature that helps podcasters test audience growth and shared visibility.
Staying Relevant in an AI-First World
This episode highlights that AI leadership is less about being early and more about staying adaptable. Leaders who thrive focus on mindset over age, combining domain expertise, critical thinking, and experimentation to stay relevant as technology shifts. AI becomes a partner, not a shortcut—used to accelerate execution while preserving judgment, responsibility, and business fundamentals. In 2026, relevance belongs to those willing to learn continuously and apply AI with intention.
Can you scale without chaos?
It's peak season, so volume's about to spike. Most teams either hire temps (expensive) or burn out their people (worse). See what smarter teams do: let AI handle predictable volume so your humans stay great.
FEATURED PLAYLISTS
🎙Why The AI Space Podcast?
If you’re new here, this playlist explains Guest motivation for sharing their journey to AI and insights on this show. We focus on practical conversations with founders, operators, and investors who are building real AI businesses and systems, not just discussing the hottest trends and moving beyond the AI hype.
👉Watch the “Why The AI Space Podcast?” playlist on YouTube.
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👉Watch curated playlists on YouTube.
🎬Binge on Season 1.
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🧠Poll - AI Tools & Workflows
Which AI tool category has become most essential to your daily workflow?
We will share the best responses in the next issue.
Last Week’s Poll Results: SEO vs GEO
SEO vs GEO — where’s your biggest bottleneck?
🟩🟩🟩🟩🟩🟩 Understanding how GEO is redefining traditional SEO (2)
🟨🟨🟨⬜️⬜️⬜️ Generating & earning visibility in AI-generated results (1)
🟨🟨🟨⬜️⬜️⬜️ Building the processes and tools to scale GEO (1)
🟩🟩🟩🟩🟩🟩 Measuring ROI and attribution across SEO and GEO (2) 6 Votes
Community Insight: This week, we saw a tie. 33.33% of readers said their biggest bottleneck is understanding how GEO is redefining traditional SEO, and 33.33% said the biggest challenge is measuring ROI and attribution across SEO and GEO. The takeaway is clear: teams are still aligning on what “optimization” means in a generative world, and they also need better measurement to prove impact.
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PROMOTIONS -STONEHAAS ADVISORS
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📅 Schedule a FREE Strategy Session
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Until the next episode, Space Cowboy!
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