In this solo episode of the AI Outcomes Podcast (EP 40), I share my unfiltered journey with OpenClaw – the viral open-source autonomous AI agent that's completely changed how I work.

This isn't just another chatbot. OpenClaw is proactive, has PhD-level memory, knows my business inside out, and actually takes action: monitoring emails, managing my calendar, handling to-do lists, researching ideas, and even running weekly "team meetings" with me.

As a non-dev, it took me 15-20 hours of Terminal hell to set it up safely on a remote server (Hetzner, €3.80/month). I cover the security nightmares (prompt injection, anyone?), how I mitigated them, choosing Claude Sonnet as its brain, connecting via Telegram (my bot is named "Bot Botter"), and the mind-blowing results.

I also discuss the bigger picture: Claude Coworker, the SaaS apocalypse, and why this is the future of agentic AI.

If you're excited (and a little terrified) about truly autonomous AI assistants, this episode is for you.

TIMESTAMPS:
00:00 – Welcome to Episode 40: The AI Game Changer
02:10 – What is OpenClaw? (Not your average AI)
06:45 – Creator Peter Steinberger & the lobster origin story
11:20 – Why regular LLMs feel frustrating
15:30 – The security wake-up call (prompt injection explained)
21:45 – My safe setup: Remote server solution
28:10 – Picking the AI brain (Claude Sonnet + token costs)
34:50 – Setting up communication: Telegram + naming my bot
41:20 – Training the bot & first proactive wins
48:10 – Email & calendar monitoring that actually works
55:40 – Tactical vs. Strategic tasks + research via Brave
1:03:20 – Weekly team meetings with my AI (agenda included!)
1:11:50 – Recent AI agent explosion (Claude Cowork, Purify, Wealth AI)
1:19:30 – Final thoughts: Scary, exciting, and worth it?

RESOURCES:
• OpenClaw (official): https://openclaw.ai/
• GitHub: https://github.com/openclaw/openclaw
• All episodes + newsletter signup: https://bendrakes.com/ai-outcomes

Starting the AI Outcomes Newsletter soon – sign up at bendrakes.com to get weekly AI insights straight to your inbox (my bot will probably handle the signups!).

Leave a comment: Would YOU set up OpenClaw? What's your biggest fear/excitement?

Subscribe & hit the bell for more real-world AI adoption stories. Thanks for 32K+ subs and the download spike!

#OpenClaw #AIAgent #AutonomousAI

Sales tools have promised magic bullets for years, but are they actually helping sellers close deals, or just creating more noise? 

In this episode, I sit down with Nathan Hulcoop, CRO at NedTech and Helm AI, to discuss why most AI sales tools get it wrong and what genuinely moves the needle.

We dig into why activity metrics have become vanity measures, the critical difference between automation and augmentation, and how AI should reduce cognitive overload rather than replace human judgment. Nathan shares insights from building Helm, an AI workforce platform designed specifically for SMEs who need amplification, not replacement.

If you're tired of tools that make you busier without making you better, this conversation is for you.
Chapters:
0:00 - Introduction and catching up with Nathan
1:45 - The landscape of sales tools: more noise than value?
4:12 - Why activity-based tools miss the point
6:30 - AI should augment outcomes, not just increase busyness
8:45 - People buy from people they trust and respect
10:20 - What AI gets wrong about sales: judgment and trust
13:15 - How Helm AI approaches workflow automation differently
16:40 - The Founding 50: building with SME founders
19:30 - Email marketing and social media automation challenges
24:00 - The hidden costs of multi-platform social media
28:15 - Where NedTech and Helm are heading in 2026
31:00 - How to connect with Nathan and Helm AI

Connect with Nathan Hulcoop here:
LinkedIn: https://www.linkedin.com/in/nathanhulcoop/
Helm AI: https://wearehelm.ai/

Connect with me:
🎓 Sales training and courses: https://bendrakes.com
💼 AI Catalyst consulting: https://bendrakes.com/ai-catalyst
🎧 Use code SAVE20 for 20% off any training
#AIinSales #SalesTools #B2BSales #AIOutcomes #SalesTraining #SME #StartupSales

In this powerhouse episode of the AI Outcomes Podcast, host Ben Drakes sits down with Rickard Hansson, CEO and Co-Founder of Weavy, to explore the biggest shift in software development today: AI-powered coding tools. We dive deep into Claude Code vs Lovable—comparing capabilities, speed, cost savings, and real-world enterprise impact. Discover how developers are building apps faster, distributing micro-SaaS products, and navigating token economics in 2026.
Whether you're a developer, CTO, or business leader adopting AI tools, this episode delivers practical insights on productivity gains, community reactions, and the future of coding jobs.
Timestamps:
00:00 Introduction - AI Coding and Enterprise Applications
07:14 Ad Break - Ben Drakes Training
08:17 Claude Code vs Lovable - Developer Perspective
13:42 Building Apps Fast - Real World Examples
18:23 Distribution and Micro SaaS
23:29 Cost Analysis - Token Usage and Savings
27:58 Developer Community Response
30:59 Impact on Jobs and Consulting
33:35 Outro - Ben Drakes Promotion
Connect on LinkedIn:

Ben Drakes: https://www.linkedin.com/in/ben-drakes
Rickard Hansson: https://www.linkedin.com/in/rickardh

Explore more:

https://www.gainable.dev/
https://www.bendrakes.com/

Available on YouTube, Apple Podcasts, Spotify, and Buzzsprout. Subscribe now and turn on notifications!

#ClaudeVsLovable #AICoding #AIExplosion #EnterpriseAI #LovableAI #ClaudeAI #DeveloperTools #MicroSaaS #AIPodcast #AIOutcomes #BenDrakes #RickardHansson #Weavy

In Episode 37, host Ben examines the AI bubble debate with tech executive Thomas Odenwald (HPE, Orbit Fab, SAP). They recap Star Cloud's orbital Nvidia H100 launch, discussing space data centers' challenges like heat dissipation, jurisdiction, and launch costs.

The core focus: Is AI in a bubble? They analyze inflated valuations, massive capex (e.g., Sam Altman's gigawatt plans), circular investments (Oracle-OpenAI-Nvidia), ROI hurdles, the shift to inference, OpenAI's $12B losses, open source rises (DeepSeek), quantum computing threats, AI layoffs (Salesforce's 10K cuts), and job market advice—upskill in AI to adapt.

Essential for tech leaders and investors eyeing 2026 shifts in robotics, autonomy, and beyond.

Chapters:

• 00:00 Introduction to the AI Bubble Discussion
• 00:10 Recap of Last Week's Episode with Philip Johnston
• 01:39 Star Cloud's Orbital Data Centers
• 03:39 Challenges of Space-Based Data Centers
• 06:01 Heat Dissipation in Space
• 09:14 Jurisdiction and Security Concerns
• 11:15 Commercial Viability and Launch Costs
• 16:32 The AI Bubble Debate
• 23:07 Understanding Productivity Metrics
• 23:44 Challenges in Measuring AI ROI
• 24:50 AI Adoption in Commercial Sectors
• 25:32 Investment Concerns in AI
• 26:35 Inference: The Future of AI
• 27:32 Market Reactions and Financial Engineering
• 29:46 Oracle's Strategic Overextension
• 32:13 OpenAI's Financial Struggles
• 33:43 The Role of Open Source in AI
• 34:47 The Future of AI and Quantum Computing
• 36:38 Impact of AI on Job Market
• 39:35 Preparing for an AI-Driven Future

Subscribe for weekly tech insights on YouTube, Apple Podcasts, Spotify, and Buzzsprout. Like, comment on the AI bubble, and share. For sponsorships or Google Ads tips, visit our site.

#AIBubble #OrbitalDataCenters #AIFuture #TechInvestments #InferenceAI #QuantumComputing #AIJobs #StarCloud #OpenAI #Nvidia #PodcastEpisode #TechPodcast #BusinessTech #AIEthics #FutureOfWork

The first data-center-grade  @NVIDIA H100 just spoke from orbit (and Elon Musk FOMO’d in with a retweet). This is the exclusive first interview with  @starcloud-inc co-founder & CEO Philip Johnston, recorded hours before today’s press release.
Philip reveals:
- Gemini’s first words + Shakespeare LLM live from orbit
- Submerging the H100 motherboard in phase-change wax
- Radiation testing at Brookhaven particle accelerator
- Exact roadmap to 40 MW orbital data centers
- Why “we’re basically a radiator company in space”

#AISpeaksFromSpace #GreetingsEarthlings #Starcloud #ElonMusk #OrbitalAI #H100inSpace #DataCentersInSpace #Breaking

Cold, prospecting emails are dead (this is good news btw!).

The reps crushing quota right now are using real human video supercharged by AI to get replies when everything else gets ignored.

Sati Hillyer, Founder & CEO of OneMob, joins Ben for a no-BS breakdown of exactly how he’s helped thousands of sellers dominate prospecting–and how AI is now making it 10x faster and more effective.

In this episode you’ll learn:
00:00 Introduction and Background
01:29 The Evolution of Video Prospecting
04:46 Challenges and Overcoming Barriers
06:52 Building Trust in Prospecting
15:11 Leveraging AI in Sales
20:04 AI Solutions for Teleprompter and Background Issues
20:32 AI Enhancements in Audio and Video Recording
21:01 Challenges and Responses to AI in Enterprises
22:21 Humanising Sales in the Age of AI
23:42 Leveraging AI for Efficient Sales Processes
27:23 AI Agents for Content and Customer Interaction
31:57 The Future of AI in Sales and Prospecting
34:14 Conclusion and Final Thoughts

🔗 LINKS
→ Start free with OneMob: https://www.onemob.com
→ Build your AI sales clone (YouNMe): https://younme.ai
→ Connect with Sati on LinkedIn: https://www.linkedin.com/in/satihillyer/

#AISales #VideoProspecting #B2BSales #SalesTips #RevenueGrowth #SalesEnablement #OneMob #FutureOfSales #SalesProspecting

In this episode, I cover Starcloud's groundbreaking launch of the first NVIDIA H100 GPU into orbit, exploring how space-based data centers could solve AI's massive energy crisis. From heat dissipation innovations to real-world use cases like battlefield monitoring and shipping lane analytics, we break down the challenges, advantages, and future prospects. Plus, insights from industry titans Jeff Bezos and Elon Musk on gigawatt-scale orbital clusters and AI scaling in space.

Whether you're in tech, business, or just fascinated by the final frontier, this solo deep-dive uncovers why AI is heading off-planet—and what it means for sustainability and compute power.

Timestamps:
00:00 Introduction to Star Cloud's Satellite Launch
02:03 Challenges and Advantages of Space-Based Data Centers
03:53 Energy and Environmental Considerations
05:29 Use Cases and Business Outcomes
09:17 Technological Innovations and Future Prospects
17:14 Industry Insights from Elon Musk and Jeff Bezos
19:59 Conclusion and Final Thoughts

🔗 Resources:

Starcloud Official Website: https://www.starcloud.com/
Philip Johnston (Starcloud CEO) LinkedIn: https://www.linkedin.com/in/philipjohnst0n
Subscribe for more episodes on AI frontiers, space tech, and business innovation—available on Apple Podcasts, Spotify, and Buzzsprout. Like, comment your thoughts on orbital AI below, and hit the bell for notifications! What excites you most about data centers in space?

#SpaceDataCenters #OrbitalAI #StarcloudLaunch #NVIDIAinSpace #BezosPredictions #MuskAI #AIScaling #SpaceTech #DataCentersFuture #PodcastTech

In Episode 34, Sean Williams (Founder & CEO of AutoGenAI) pulls back the curtain on how specialist AI is transforming the RFP and bid management world.

You’ll discover:
00:00 Introduction & the $50M+ RFP problem most teams still lose
00:50 Sean’s career journey – from proposal writer to AI founder
01:47 Discovering LLMs in 2022… and launching BEFORE ChatGPT
02:56 Why ChatGPT and generic AI fail miserably at bids & proposals
03:48 The hidden pain points in enterprise proposal writing
05:41 Building AutoGenAI – specialist linguistic engineering meets defense-grade security
07:23 The untold truth about prompt engineering that actually wins deals
10:57 The exact end-to-end workflow top teams now use (step-by-step breakdown)
16:43 Real results: 42 chaotic SharePoint sites → instant compliant answers
30:01 Final thoughts + how to get started today

If you’re a bid manager, proposal professional, sales leader, or anyone responsible for winning high-stakes contracts, this episode is pure gold.

🔗 Try AutoGenAI free → https://www.autogenai.com
📩 Connect with Sean on LinkedIn → https://www.linkedin.com/in/seanwilliams-autogenai/
📅 Book a 15-min demo → https://www.autogenai.com/demo
#RFP #ProposalWriting #BidManagement #AIforSales #WinMoreDeals #SalesAI #GovernmentContracts #EnterpriseSales

Just one hyperscaler outage can erase revenue and trust overnight-let alone two. Episode 32 analyses the October-November 2025 AWS and Azure failures—15-hour DNS crashes, thermal shutdowns, and worldwide fallout—then arms business owners with proven risk mitigation strategies to strengthen resilience now.

🔥 Chapters
00:00 Introduction & Overview
00:38 AWS and Azure Outages: What Happened
01:29 Personal Experiences & Immediate Impacts
02:00 Technical Causes: DNS and Change Management
03:03 Major Brands and Services Affected
04:10 Ripple Effects and Global Impact
05:10 Financial Impact and Insurance
06:21 True Costs: Business Losses & Customer Behavior
07:08 Critical Systems & Mitigation in Healthcare
07:48 Cloud vs. On-Premise: Is There a Solution?
08:34 Multi-Region, Multi-Cloud, and Cost Calculations
09:47 Market Share: The Three Major Hyperscalers
10:36 What Should Businesses Do?
11:16 Solutions, Recommendations, and Chaos Drills
12:32 Service Level Agreements & Business Strategy
13:50 Outage Statistics & Trends
15:24 Final Thoughts, Takeaways & Outro

🔗 LinkedIn:
Ben: https://www.linkedin.com/in/ben-drakes/
Thomas: https://www.linkedin.com/in/thomasodenwald/
🌐 AI Catalyst: https://www.bendrakes.com/ai-catalyst

#CloudOutage #BusinessContinuity #RiskMitigation #MultiCloudStrategy #AWSOutage #AzureDown #ChaosEngineering #ITResilience #DowntimePrevention #SLA #DisasterRecovery #CloudCostOptimization #TechForCEOs #BusinessRisk

Will AI take your job—or just the worst parts of it? In this episode, Ben is joined by Alan Back (30 years in sales leadership across public sector, cloud and PE-backed businesses) to unpack what AI really means for jobs, skills, and the future of work. We cut through the doom to look at where automation actually lands, where augmentation is winning, and how to stay on the right side of the change.

What we cover:

• World Economic Forum jobs outlook: displacement vs creation

• Goldman Sachs’ productivity thesis—what “affected” jobs really means

• Forbes on retraining reality (early careers vs 30-year veterans)

• Klarna’s customer service experiment—when humans come back into the loop

• Big Tech signals: job cuts vs massive AI investment & reskilling

• Stanford’s “green-light” tasks: where workers want AI agents

• Practical playbook: reposition, reskill, and focus on high-value work

Chapters:

00:00 Introduction and Setting the Scene

00:35 Guest Introduction: Alan’s Background

01:28 Agenda Overview: AI and Job Market

02:39 World Economic Forum Jobs Report

07:39 Goldman Sachs on AI’s Impact

11:54 Forbes Insights on Job Displacement

18:29 Klarna’s AI and Customer Service Experiment

20:53 AI’s Impact on Customer Service

21:35 Job Cuts and AI Investments

22:15 Big Tech’s AI Commitments

23:26 The Growing Demand for AI Skills

24:40 The Future of Work with AI

31:45 Trust and Resistance to AI

35:12 Embracing AI for High-Value Work

41:09 Adapting to the New World of Work

#AIJobs #FutureOfWork #ArtificialIntelligence #Automation #Augmentation #AICareers #Reskilling #Upskilling #CustomerService #AIAgents #Productivity #Workforce #TechTrends #AIEconomy #AIOutcomesPodcast