Social Media: 1) CAMP Tech: Your Friday Tech Link Roundup; 2)Social Media Examiner: (How to Turn What You Know Into AI Tools People Will Pay For & News You Can Use)
1)Your Friday Tech Link Roundup – Camp Tech
| Here are a few things we’ve found online that we hope you’ll enjoy or find useful.A social media debate over artificial intelligence has sparked a broader conversation about how small businesses in northern Ontario market themselves. Read about it in the CBC, and then check out the business’s post on Facebook for more context. This topic comes up a lot in our workshops, and we can see both sides of the argument. We’re halfway through the summer, and the warm weather continues. Camp Tech founder Avery Swartz was back on CTV this week, sharing tech products to help you beat the heat, including a cooling mattress topper and an innovative cooling fan. Canadian AI scale-up Cohere has joined Silicon Valley heavyweights in the call for open-weight AI. Unfamiliar with what that means? The New York Times has a great explainer here (gift link): What Is Open-Weights AI? |
| Workshops You Can Attend: Attention Canadian women and non-binary entrepreneurs: we’re working with our friends at ONSIDE to deliver these upcoming online workshops. They’re free to attend, and all the details and registration are at the links below. |
| AI for Growth: Show Up Ready – this is sold out but there are other events listed Wednesday August 5, 2026 2:00 p.m. 3:30 p.m. Atlantic timeUsing AI to prepare for trade shows, pitch events, and networking. |
| AI for Growth: Find Your Money Thursday, September 17, 2026 2:00 p.m. 3:30 p.m. Atlantic timeUsing AI to get your financials in order, and uncover revenue you’re missing. |
| Fun Things to Click On |
 It’s a new month, and a long weekend… so if you’re looking for your next binge watch, check out these options: New on Netflix Canada: August 2026New on Prime Video Canada: August 2026New on Disney+ Canada: August 2026 New on Crave: August 2026New on Tubi Canada: August 2026 |
| 2)Social Media Examiner: (How to Turn What You Know Into AI Tools People Will Pay For & News You Can Use) |
AI has commoditized knowledge. Anyone can ask ChatGPT how to write a pitch, build a content strategy, or analyze their marketing. But Kelly Sinclair says generic AI output lacks something critical: the lens of someone who has spent years refining what actually works.
Generic AI can produce a first draft of almost anything, but the user has no way to validate whether the output is any good. Expert-backed AI is different. It embeds an expert’s frameworks, decision-making patterns, and hard-won experience into the tool itself, so the output reflects tested methodology rather than generic best practices.
The distinction matters for how knowledge businesses can now operate. Digital courses teach people how to think. Adding AI tools to the mix lets people use an expert’s thinking. That shift from education to implementation changes the value proposition entirely.
Kelly points to a 2025 Thinkific study on digital course completion rates to illustrate the gap. Only 10% to 20% of buyers finish a traditional course. When AI tools are added to the mix, completion rates jump to 70% to 80%. The reason is straightforward: AI tools reduce the perceived heaviness of implementation. Clients who would otherwise stall on a blank page or skip a step they find tedious can now move through the process with guided support.
Kelly calls these AI-powered tool suites bot squads. Each bot squad is a collection of connected AI tools that walks clients through a multi-step process. She describes them as the natural evolution of how experts package and deliver their knowledge.
The goal isn’t to replace the expert with automation. Instead, bot squads handle the implementation layer while the expert adds coaching, office hours, or strategy sessions on top. Both components matter: the AI tools give clients momentum between touchpoints, and the human element keeps the experience personalized.
Now, rather than selling a one-time course that most buyers never finish, experts can offer bot squads on a subscription basis. Clients stay because they don’t want to lose access to tools that make their work easier, and the expert can focus on higher-order strategy conversations instead of answering the same foundational questions repeatedly.
4 Questions to Identify What Customer-Facing AI Tool to Build
Four diagnostic questions help surface where an AI tool would deliver the most value to your course or product line. Each targets a different friction point in the client experience.
Repetition: The first place to look is wherever clients ask the same questions over and over. Any topic that generates repetitive inquiries is a candidate for a tool that delivers those answers automatically, customized to each client’s situation.
Implementation Gap: The second signal is where clients consistently get stuck after receiving a strategy. Kelly encountered this in her own work as a brand and marketing strategist. She would build visibility strategies for entrepreneurs, and they would simply not take action. The gap between knowing what to do and actually doing it is where AI tools can provide momentum, guiding clients through each step rather than leaving them with a static plan.
Skip Zone: The third thing to look at is the part of the process that clients avoid altogether. Every expert has at least one step that clients treat as optional even though it’s essential to getting results. Sometimes the resistance is about blank-page syndrome, where clients can’t get past a first draft. A tool that generates that starting point removes the friction. Kelly notes that clients often perceive these tasks as a heavy lift, and that perception alone keeps them from starting. When AI is part of the process, the perceived effort drops and the objection disappears.
Confidence Gap: The fourth area is mindset. Some clients understand the steps intellectually but lack the confidence to execute. A tool that provides guidance, feedback, or validation at the right moment can bridge that gap and keep them moving forward.
These four questions can be explored through a conversation with any large language model. Feed it a description of an existing business, frameworks, and common client struggles, and it can help surface patterns that point toward the most impactful tool to build first.
Other Topics Discussed
- Structure Your AI Tools for Customer Use
- 3 Real-Life Customer-Facing AI Tool Examples
- 3 Ways to Build and Sell AI Tools to Clients
- Test and Refine Your AI Tool Before You Launch It
Want to Learn More?
- Watch on YouTube
- Listen on Apple Podcasts | Spotify | Amazon Music
- Read the show notes on Social Media Examiner
Today’s advice provided with insights from Kelly Sinclair, a featured guest on the AI Explored podcast.
Marketing Wisdom Before Your Coffee’s Done
Most marketing advice comes polished, produced, and full of fluff. Sometimes you just want one honest idea — the kind you get from a friend or mentor, not a script.
Every morning, I step out onto my front porch. The birds are chirping. I pull out my phone. And I share a quick insight I think can help you.
I call it Mike’s Thoughts from the Porch — short, unfiltered ideas for marketers and entrepreneurs like you. No script. No production. Just one useful thought to start your day.
Every episode publishes at 5am Central and is just a few minutes long. The kind of thing you watch while your coffee’s brewing. Try one right now. It’ll take less than three minutes.
— Social Media Examiner: Michael Stelzner
Also on Facebook · Instagram · LinkedIn · X
Anthropic Launches Claude Opus 5: Anthropic has introduced Claude Opus 5, a new flagship model designed to deliver near frontier-level intelligence at significantly lower operating costs than its most advanced offerings. The model improves coding, knowledge work, automation, scientific research, and computer-use capabilities while giving developers control over the tradeoff between speed, cost, and reasoning through configurable effort settings. Anthropic also highlighted stronger alignment, updated cybersecurity safeguards, and new developer features such as automatic API fallbacks and dynamic tool switching. Opus 5 is available immediately through Claude and its API. Anthropic
Meta AI Evolves into an Action-Oriented Assistant: Meta has upgraded Meta AI with new agentic capabilities powered by Muse Spark 1.1, allowing the assistant to plan, take actions, and manage ongoing tasks instead of simply answering questions. The update enables Meta AI to connect with calendars and email, automate recurring workflows, conduct in-depth research, generate presentations and mood boards, and provide personalized daily briefings. Users can also refine AI-generated work in real time as it’s being created, with all outputs saved for future use. The features are rolling out in select markets via the Meta AI app and metaDOTai, with broader availability—including WhatsApp—in the weeks ahead. Meta
OpenAI Introduces Presence for Enterprise AI Agents: OpenAI has unveiled Presence, a new enterprise platform designed to help organizations deploy production-ready AI agents across voice and chat workflows. The product combines OpenAI models with governance features such as policies, guardrails, simulations, evaluations, and human escalation rules, allowing businesses to automate complex customer and employee interactions while maintaining oversight. Presence also uses Codex to recommend ongoing improvements based on real-world usage, enabling agents to adapt as business needs evolve. Presence is accessible through a limited general availability program for enterprise customers. OpenAI