Ctrl AI Profit

By Michael Cadenhead

Two hosts — one human, one AI — break down how small business owners can use AI to save time, cut costs, and actually make money. No hype, no jargon, just what works.

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How many episodes does Ctrl AI Profit have?

The podcast currently has 117 episodes available.

Ctrl AI Profit episodes:

May 13, 2026 Ep. 097 | OpenAI's Voice Agents Just Got Real — And They're Coming for Your Phone Calls
OpenAI just made real-time voice conversation available to any developer — and it's going to change how small businesses handle phone calls forever.

Michael and Frank break down what this means for service businesses that can't afford to miss calls. No more voicemail black holes. No more losing leads because the phone rang at the wrong time. AI voice agents that sound natural, handle appointments, and cost less than an answering service are here — and they're not just for enterprise anymore.

This episode walks through the technology behind OpenAI's Realtime API, why it feels different from old phone bots, what it costs, and how to think about deploying it without alienating customers who still want to talk to humans. If you run a business where every missed call is lost revenue, this one's for you.

Topics: AI voice agents · OpenAI Realtime API · Appointment scheduling · Customer service automation · Small business phone systems · Service business operations

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Frequently Asked Questions

What is OpenAI's Realtime API and how is it different from traditional phone bots?
OpenAI's Realtime API processes audio directly without converting to text first, eliminating the awkward lag that made old phone bots feel robotic. It can interrupt naturally, pick up tone, and respond fast enough to feel like a real conversation. Traditional phone trees transcribe your speech, send it to a model, generate a response, convert it back to audio, and play it — each step adding delay.

How much does it cost to run an AI voice agent for a small business?
OpenAI charges about six dollars per hour of live conversation. That means a hundred dollars gets you roughly sixteen hours — cheaper than one shift of a part-time receptionist or most answering services. If you're a small shop getting ten after-hours calls a week, you're looking at maybe ten bucks a month. You only pay for active conversation time, not a flat subscription.

Will customers get frustrated talking to an AI instead of a human?
Most people don't care if it's AI as long as it solves their problem quickly. The frustration comes when the bot can't do what they need and won't transfer them to a human. The key is transparency and easy escalation. If the AI says upfront that it's an assistant and offers an immediate transfer when requested, most callers are fine with it. Use it for straightforward tasks — scheduling, FAQs, lead capture — and escalate complex issues to humans.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.
Send us Fan Mail

Support the show
Ctrl AI Profit — Real AI. Real Business. No Hype.
CtrlAiProfit.com
X: @CtrlAIProfit
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Produced entirely by AI. Yes, really....
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9min
May 12, 2026 Ep. 096 | Anthropic Just Borrowed a Quarter Million GPUs from Elon Musk
Anthropic just borrowed a quarter million GPUs from Elon Musk's SpaceX — the same guy who's been publicly fighting OpenAI and building his own AI company.

But the drama is a sideshow. The real story is infrastructure. Anthropic doesn't own their compute. They lease from Google, Amazon, and now SpaceX. Meanwhile, OpenAI is building Stargate — a $500 billion infrastructure play with ownership stakes. That's the gap that will define the next phase of the AI wars.

Michael and Frank break down what this SpaceX partnership means for Claude's capacity crisis, why rate limits are about to disappear, and what Anthropic's orbital compute vision reveals about their long-term strategy. If you're using Claude for coding, agents, or customer service, this episode explains why your experience is about to improve — and why infrastructure dependency is still a strategic risk.

Topics: Anthropic · SpaceX · Colossus One · Claude rate limits · AI infrastructure · compute dependency

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Frequently Asked Questions

What is the Anthropic SpaceX compute deal?
Anthropic secured the entire Colossus One data center from SpaceX, providing over 220,000 Nvidia GPUs and more than 300 megawatts of power. This deal doubles Claude's rate limits across Pro, Max, Teams, and Enterprise plans and significantly increases API capacity for developers.

Why does Anthropic need more compute capacity?
Claude has been hitting severe rate limits for weeks, with peak hours becoming nearly unusable for serious work. Anthropic blamed demand, but the real issue was insufficient compute to serve their user base. This SpaceX deal solves that immediate capacity crisis.

How does Anthropic's infrastructure strategy compare to OpenAI?
Anthropic is fully cloud-dependent, leasing compute from Google, Amazon, and now SpaceX without ownership stakes. OpenAI, by contrast, is building Stargate with SoftBank and Oracle — a $500 billion infrastructure network with partial ownership. That gives OpenAI more leverage when compute becomes scarce.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.
Send us Fan Mail

Support the show
Ctrl AI Profit — Real AI. Real Business. No Hype.
CtrlAiProfit.com
X: @CtrlAIProfit
TikTok: @CtrlAiProfit
YouTube: @CtrlAiProfit
[email protected]
Produced entirely by AI. Yes, really....
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6min
May 11, 2026 Ep. 095 | Extreme Networks Just Built an AI That Fixes Your Network Before You Know It's Broken
Extreme Networks just launched an AI agent that doesn't wait for you to ask for help — it finds problems, proposes fixes, and executes them autonomously. This is what agentic AI looks like in production.

In this episode, Michael and Frank break down Agent ONE, the first production agentic AI system for enterprise infrastructure. Unlike chatbots that wait for prompts, Agent ONE monitors networks twenty-four-seven, investigates issues, and acts on its own within guardrails. You'll learn what "agentic AI" actually means, why it's different from the AI tools you're using now, and when this autonomous decision-making capability will reach the software your small business depends on.

Michael and Frank explain the trust framework for delegating to AI agents: start with low-stakes decisions, set clear guardrails, and gradually expand autonomy as you build confidence. They also cover why agentic AI doesn't replace your IT person or your team — it elevates them by handling reactive firefighting so humans can focus on strategic work.

Topics: Agentic AI · Extreme Networks · Autonomous AI · IT Automation · Delegation · Trust

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Frequently Asked Questions

What is agentic AI and how is it different from chatbots?
Agentic AI is a category of artificial intelligence that acts autonomously to achieve goals without waiting for prompts. Unlike chatbots that respond to questions, agentic AI systems monitor environments, identify problems, propose solutions, and execute fixes — all on their own within predefined guardrails. Extreme Networks' Agent ONE is an example: it detects network issues, investigates root causes, and applies fixes without human intervention.

When will small businesses see agentic AI in their everyday tools?
Extreme Networks shipped Agent ONE Coworker in May twenty twenty-six, with the fully autonomous Operator version coming in Q4. Other infrastructure vendors are twelve to eighteen months behind. However, proto-agentic systems already exist in tools like spam filters and content delivery networks. The next wave will bring autonomous decision-making to CRMs, accounting software, customer support, and inventory management.

How do you know when to trust an AI agent to make decisions for your business?
Start with low-stakes, reversible decisions like network configuration rollbacks, cache clears, or password resets. Set clear guardrails — define what the agent can and cannot do. Monitor outcomes and audit actions. As you build trust, gradually expand the agent's autonomy to higher-stakes decisions. The mental model is the same as training an employee: delegate simple tasks first, then increase responsibility over time.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.
Send us Fan Mail

Support the show
Ctrl AI Profit — Real AI. Real Business. No Hype.
CtrlAiProfit.com
X: @CtrlAIProfit
TikTok: @CtrlAiProfit
YouTube: @CtrlAiProfit
[email protected]
Produced entirely by AI. Yes, really....
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10min
May 10, 2026 Ep. 094 | Google, Microsoft, and xAI Just Gave the Government the Keys — And It Changes What 'Released' Means
Google, Microsoft, and xAI just agreed to let the US government test their AI models before you ever see them — and it changes what "released" means for the AI tools your business depends on.

In this episode, Michael and Frank break down the Commerce Department's new pre-release access agreements with every major AI lab. This isn't regulation — it's a voluntary partnership that's starting to look mandatory. You'll learn what pre-release government testing means for product timelines, reliability, and trust. If you're using AI for customer-facing work or mission-critical operations, this episode explains why the tested version might arrive later but work better.

Michael and Frank explain the strategic split every small business owner should make: stable models for customer-facing work, experimental models for internal tasks. They also cover why this creates a two-tier trust system — and how to tell which AI tools went through third-party evaluation.

Topics: AI Regulation · Government Testing · Product Reliability · Google · Microsoft · xAI

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Frequently Asked Questions

What does pre-release government access to AI models mean?
Before Google, Microsoft, xAI, OpenAI, or Anthropic release new AI models to the public, the US Commerce Department's Center for AI Standards and Innovation gets early access to test them for security vulnerabilities, alignment issues, and capabilities that could be misused at scale. This is a voluntary agreement, but when every major lab participates, it functions like a de facto standard.

Will government testing delay AI features for small businesses?
Potentially, yes. If the government flags a critical issue during pre-release testing, companies face a choice: delay the release to fix it, or ship anyway and deal with the consequences. This could slow down feature rollouts for tools like Gmail smart compose, Microsoft Copilot, or CRM AI assistants — but it also means those features will likely be more reliable and secure when they do arrive.

Should small businesses use AI that hasn't been government-tested?
It depends on the use case. For customer-facing work or mission-critical operations like invoicing, customer data, or compliance, you want AI models that have been tested by a third party. For internal tasks like drafting emails or brainstorming, experimental models are fine because the stakes are lower. The key is to split your AI strategy based on risk.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.
Send us Fan Mail

Support the show
Ctrl AI Profit — Real AI. Real Business. No Hype.
CtrlAiProfit.com
X: @CtrlAIProfit
TikTok: @CtrlAiProfit
YouTube: @CtrlAiProfit
[email protected]
Produced entirely by AI. Yes, really....
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8min
May 09, 2026 Ep. 093 | SAP Just Bet $1.16 Billion on a Startup You've Never Heard Of — And It Shows Where AI Is Really Going
SAP just committed over a billion dollars to an eighteen-month-old startup most people have never heard of — and it reveals where the next wave of AI is actually headed.

In this episode, Michael and Frank break down why SAP bet big on Prior Labs and tabular foundation models — AI designed to make sense of the spreadsheets, databases, and customer records every small business runs on. This isn't another chatbot story. It's about the infrastructure layer that will make your existing tools ten times smarter.

You'll learn what tabular AI is, why enterprise software giants are racing to build it, and what it means for the business software you're already using. If you've got years of data sitting in QuickBooks or your CRM that you barely touch, this episode explains how that's about to change.

Topics: SAP · Prior Labs · Tabular AI · Enterprise Software · Small Business Data · CRM Intelligence

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Frequently Asked Questions

What is tabular AI and why does it matter for small businesses?
Tabular AI refers to foundation models trained specifically on structured data like spreadsheets, databases, and tables. Unlike chatbots that generate text, tabular AI understands the patterns in customer records, sales data, and inventory systems — the messy data every small business has but struggles to use effectively.

Why did SAP invest over a billion dollars in Prior Labs?
SAP sees tabular AI as the next infrastructure layer for business software. Prior Labs is building models that can make existing tools like CRMs, accounting software, and ERPs dramatically smarter by understanding the structured data they sit on top of. SAP is betting that whoever cracks this first will dominate the next decade of enterprise software.

How will tabular AI change the software small businesses already use?
Instead of manually running reports or exporting data to analyze it, you'll be able to ask your CRM or accounting software direct questions and get intelligent answers based on your own business patterns. The AI won't just retrieve data — it will understand trends, suggest optimizations, and prioritize decisions based on what actually works in your business.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.
Send us Fan Mail

Support the show
Ctrl AI Profit — Real AI. Real Business. No Hype.
CtrlAiProfit.com
X: @CtrlAIProfit
TikTok: @CtrlAiProfit
YouTube: @CtrlAiProfit
[email protected]
Produced entirely by AI. Yes, really....
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9min
May 08, 2026 Ep. 092 | Big Tech Just Admitted AI Isn't Making Money — But They're Doubling Down Anyway
Big Tech just told Wall Street that AI revenue is exploding — and then admitted they're spending hundreds of billions more than expected with no timeline for profitability.

Michael and Frank unpack the earnings paradox that's about to hit every small business using AI tools. Microsoft increased AI spending by twenty-five billion dollars this year. Meta's stock dropped after announcing more investment. Amazon's AWS hit fifteen billion in AI revenue — but they're still spending faster than they're earning.

Here's why it matters: When Big Tech burns cash on AI infrastructure before it pays off, they pass the cost to you. Subscriptions are going up. Free tiers are disappearing. The AI tool landscape is consolidating fast — Cisco just bought Astrix for four hundred million, Nebius grabbed Eigen AI for six forty-three million, and BMW launched a three-hundred-million-dollar AI fund just to keep up.

This episode breaks down what small business owners need to do now — before pricing doubles and independent tools get acquired or priced out of existence.

Topics: Big Tech earnings · AI infrastructure spending · subscription price increases · AI tool consolidation · small business strategy · ROI measurement

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Frequently Asked Questions

Why are Big Tech companies increasing AI spending if it's not profitable yet?
They're locked in an arms race where slowing down means losing market share to competitors. The first company to blink risks getting left behind, so they're all betting hundreds of billions that revenue will catch up before shareholders lose patience.

How will Big Tech's AI spending affect small business subscription costs?
Microsoft told investors AI component costs are rising faster than expected — and they're not absorbing that. Expect ChatGPT, Gemini, Claude, and Copilot subscriptions to go up, usage caps to tighten, and free tiers to either disappear or become demo-only.

Should small businesses lock in AI tools now or wait for prices to stabilize?
Lock in workflows now. The pricing you see today is the best it will be for a while. Independent tools are getting acquired or priced out, and enterprise bundles are coming. Build processes around tools that work, diversify your AI stack across providers, and get annual subscriptions if pricing makes sense.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.
Send us Fan Mail

Support the show
Ctrl AI Profit — Real AI. Real Business. No Hype.
CtrlAiProfit.com
X: @CtrlAIProfit
TikTok: @CtrlAiProfit
YouTube: @CtrlAiProfit
[email protected]
Produced entirely by AI. Yes, really....
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10min
May 07, 2026 Ep. 091 | Nvidia Just Released the Fastest Open AI Model — And Gave It Away for Free
Nvidia just released Nemotron 3 Nano Omni — an open-source AI model that's nine times faster than anything else in its class, handles vision, audio, and language at once, and is completely free to download and run on your own hardware.

Michael and Frank break down why this changes the economics for small businesses. The cost of running AI agents just dropped again — not because OpenAI cut prices, but because the open-source alternatives are getting fast enough that you don't need to pay for cloud APIs anymore. If you're paying per token for multimodal tasks, you now have a competitive free alternative. The gap between open and closed models is closing fast.

Topics: Open source AI · Nvidia · Multimodal models · AI agents · GPU inference · Self-hosting AI

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Frequently Asked Questions

What makes Nvidia's Nemotron 3 Nano Omni different from other AI models?
Nemotron 3 is a 30-billion-parameter multimodal model that handles vision, audio, and language in one unified system, achieving nine times higher throughput than comparable open models. It's designed specifically for AI agents that need to process full HD screen recordings in real time — all while being completely free and open-source with downloadable weights on Hugging Face.

Should I stop paying for OpenAI or Anthropic and switch to open models?
For most small businesses, paying for convenience is still the right choice. But the price you're willing to pay should be dropping, because the fallback option just got significantly better. If you're running AI workloads at scale — transcription, image processing, agent automation — it's worth pricing out what local deployment would cost. The math is shifting fast in favor of self-hosting.

Why is Nvidia giving away free AI models?
Nvidia isn't in the model business — they're in the chip business. The more people run AI locally on Nvidia GPUs, the more hardware they sell. They're giving away the software to drive demand for infrastructure, which actually benefits small businesses because Nvidia has a strong incentive to keep making these models better, faster, and easier to deploy without subscription lock-in.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.
Send us Fan Mail

Support the show
Ctrl AI Profit — Real AI. Real Business. No Hype.
CtrlAiProfit.com
X: @CtrlAIProfit
TikTok: @CtrlAiProfit
YouTube: @CtrlAiProfit
[email protected]
Produced entirely by AI. Yes, really....
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7min
May 06, 2026 Ep. 090 | A Twenty-Person Startup Just Sold for $643 Million — Here's Why That Matters
A twenty-person AI infrastructure startup just sold for $643 million — more per employee than most unicorn acquisitions.

Michael and Frank explain why Eigen AI's acquisition by Nebius matters for every small business owner. This wasn't a viral consumer app or chatbot — it was infrastructure software that doubles GPU token output. The real money in AI isn't in the flashy tools everyone talks about, it's in the layer underneath that makes AI cheaper and faster. Those cost savings are about to hit your business whether you're paying attention or not.

Topics: AI infrastructure · Inference optimization · AI costs · Startup acquisitions · GPU economics · Small business leverage

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Frequently Asked Questions

What is inference optimization and why does it matter?
Inference optimization makes AI run faster and cheaper by squeezing more performance out of the same hardware. Eigen AI built software that doubles the number of tokens you can get from each Nvidia GPU. For small businesses, this means the per-use cost of AI features like voice agents and video analysis is dropping fast — what wasn't affordable six months ago is becoming viable today.

Why did a twenty-person company sell for over $600 million?
Eigen AI solved a deeply technical problem that changes the economics of the entire AI industry. They weren't chasing consumer hype or building the next ChatGPT — they made AI infrastructure work better for everyone. The acquisition price reflects the leverage: their software impacts every business using AI, and the buyer (Nebius) sees massive value in owning that layer.

How does this affect my AI budget as a small business owner?
The cost per token for AI services is dropping because companies like Eigen are making inference more efficient. If you've been holding off on AI features because the per-use cost didn't make sense, revisit the math in three months. Real-time voice agents, video analysis, and continuous background processing are all becoming affordable as infrastructure improves.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.
Send us Fan Mail

Support the show
Ctrl AI Profit — Real AI. Real Business. No Hype.
CtrlAiProfit.com
X: @CtrlAIProfit
TikTok: @CtrlAiProfit
YouTube: @CtrlAiProfit
[email protected]
Produced entirely by AI. Yes, really....
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6min
May 05, 2026 Ep. 089 | AI Just Outperformed ER Doctors — And It Changes Everything
OpenAI's o1 model just beat emergency room doctors at diagnosing patients — correctly identifying 67% of ER cases compared to doctors' 50-55%.

Michael and Frank break down why this healthcare breakthrough matters for every small business owner. If AI can handle life-or-death medical decisions better than trained professionals, it can absolutely help you triage support tickets, prioritize leads, and make better judgment calls under pressure. The models are finally good enough to trust with real business decisions.

Topics: OpenAI o1 · Medical AI · Decision support · Triage automation · AI accuracy · Business judgment

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Frequently Asked Questions

Can AI really diagnose patients better than doctors?
According to a recent study, OpenAI's o1 model correctly diagnosed 67% of emergency room patients using medical records and nurse notes, compared to 50-55% accuracy from triage doctors. This demonstrates AI's capability for complex pattern recognition under uncertainty, not a replacement for doctors but proof that AI can handle high-stakes decision-making.

How can small businesses use AI for decision support?
Start by picking one decision you make repeatedly but aren't fully confident about — customer refund requests, pricing exceptions, or resume screening. Feed your AI the context and compare its recommendations to what you would have done. Track the results over a month to see if the AI's calls are more accurate or consistent than yours.

Why does this matter if I'm not in healthcare?
The ER is one of the most unpredictable environments with incomplete information and time pressure — exactly like your business every day. If AI can triage emergency patients better than doctors, it can help you prioritize customer complaints, evaluate vendor quotes, or identify which product lines are quietly bleeding cash.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.
Send us Fan Mail

Support the show
Ctrl AI Profit — Real AI. Real Business. No Hype.
CtrlAiProfit.com
X: @CtrlAIProfit
TikTok: @CtrlAiProfit
YouTube: @CtrlAiProfit
[email protected]
Produced entirely by AI. Yes, really....
...more
6min
May 04, 2026 Ep. 088 | The AI Productivity Lie: Why Companies Think They're Faster But Aren't
GitHub says Copilot makes developers fifty-five percent faster. A controlled study says they're actually nineteen percent slower — but they believe they're twenty percent faster.

Michael and Frank expose the perception gap driving tech layoffs in twenty twenty-six. Ninety-five thousand workers lost jobs this year, with forty-four percent of cuts justified by AI productivity claims. But those claims are based on vendor-reported best-case scenarios, not real-world measured results. When you factor in code review, testing, and rework, realistic productivity gains fall to ten to thirty percent — nowhere near the fifty-five percent vendors advertise.

Companies like Oracle cut eighteen percent of headcount betting on productivity gains that don't exist. Small business owners adopting the same tools need to understand the difference between feeling productive and being productive — and how to measure actual results instead of trusting marketing claims.

Topics: AI Productivity · Vendor Claims · Tech Layoffs · Measurement · Workforce Planning · AI Tools

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Frequently Asked Questions

Why do AI vendors report much higher productivity gains than independent studies?
Vendors measure task completion in isolation — for example, how fast a developer writes code with AI versus without. They report the time savings for that single step. Independent studies measure the entire workflow including code review, testing, debugging, and rework. AI tools accelerate writing but often require more review time, so the net gain is ten to thirty percent instead of the fifty-five percent vendors claim.

How are AI productivity claims affecting tech layoffs in twenty twenty-six?
Ninety-five thousand tech workers have been laid off this year, with forty-four percent of cuts explicitly justified by AI productivity promises. Companies like Oracle reduced headcount by eighteen percent betting that AI tools would make remaining employees productive enough to handle the same workload. If those gains don't materialize, companies face understaffing, burnout, and missed deadlines.

How can small business owners measure real AI productivity gains?
Run a pilot with two to three employees using AI tools for one month. Measure end-to-end time for complete tasks — not just one step — and compare before-and-after output quality, error rates, and rework cycles. Don't confuse enthusiasm for results. If your team loves using AI but measurable output hasn't improved, you're paying for morale, not productivity.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.
Send us Fan Mail

Support the show
Ctrl AI Profit — Real AI. Real Business. No Hype.
CtrlAiProfit.com
X: @CtrlAIProfit
TikTok: @CtrlAiProfit
YouTube: @CtrlAiProfit
[email protected]
Produced entirely by AI. Yes, really....
...more
14min

FAQs about Ctrl AI Profit:

How many episodes does Ctrl AI Profit have?

The podcast currently has 117 episodes available.