AI That Actually Works (Not Just Demos)

I've built AI products people pay for, so I know what works and what's just hype

Everyone's talking about AI, but most of it is nonsense. I've actually built AI products (like Accountabilly) that people pay for, and I've added AI to businesses where it saves real money. Let me show you the difference.

What I've Learned Building AI Products

From my own apps and client projects

When I built Accountabilly, I learned something - people don't care that it uses ChatGPT. They care that it helps them stop procrastinating. Same with business AI. Here's what actually matters:

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Start With a Real Problem

Accountabilly works because I solved my own problem first - I kept setting goals and giving up. The AI part came later, when I figured out what kind of help I actually needed.

Users wanted someone to challenge their excuses, not just track their progress

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Start Simple, Scale Smart

Begin with focused use cases that deliver immediate value, then expand based on results and learnings.

Started with basic AI coaching, added voice transcription when users requested it

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Integration Over Disruption

AI works best when it enhances existing workflows rather than forcing completely new processes.

Integrated AI into Scart's existing order processing instead of rebuilding everything

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Human + AI, Not AI Instead

The most effective implementations augment human capabilities rather than trying to replace people entirely.

AI handles routine questions, humans handle complex customer relationships

How I Built Accountabilly (And Got People To Pay For It)

The real story of building an AI product from scratch

The Challenge

I kept watching my friends (and myself) set the same goals every year and fail. We all had fitness apps, habit trackers, whatever. But when you don't feel like working out, those apps just sit there. Useless.

The Solution

I built an AI coach that actually pushes back when you make excuses. Like 'I'm too tired' and it says 'You said that yesterday. What's really going on?' It learns your patterns and calls you out.

Results Achieved

  • Complete MVP delivered in 2 weeks
  • Subscription system with paying beta users
  • 10+ core features including AI conversation, voice transcription, progress tracking
  • Ready for App Store and Google Play launch
  • Proven market demand for AI-powered accountability

AI Implementation Services

Strategic AI that enhances your business operations

Process Automation & Workflow AI

Eliminate manual tasks that waste your team's time and create errors

Timeline: 4-8 weeks
30-70% reduction in manual processing time

Customer Experience AI

Enhance how customers interact with your business through intelligent systems

Timeline: 6-10 weeks
20-40% improvement in customer satisfaction metrics

Content & Marketing AI

Scale content creation while maintaining quality and brand consistency

Timeline: 3-6 weeks
50-80% faster content production cycles

Custom AI Applications

Build AI-powered products that create new revenue streams or competitive advantages

Timeline: 8-16 weeks
New revenue streams or significant competitive differentiation

How I Implement AI for Your Business

Strategic approach that minimizes risk and maximizes value

1

AI Opportunity Assessment

1 week

Identify where AI can solve real problems in your business, not just where it's technically possible.

Key Activities:

  • Business process analysis and pain point identification
  • Current workflow documentation and inefficiency mapping
  • AI readiness assessment of existing systems and data
  • ROI potential calculation for different AI use cases
  • Priority ranking based on impact vs implementation complexity
2

Proof of Concept Development

2-3 weeks

Build working prototypes that demonstrate value before full implementation investment.

Key Activities:

  • Rapid prototype development for top-priority use cases
  • Integration testing with existing systems and workflows
  • Performance benchmarking and cost analysis
  • User feedback collection and iteration
  • Technical feasibility validation and risk assessment
3

Production Implementation

4-8 weeks

Deploy AI solutions that integrate seamlessly with your existing business operations.

Key Activities:

  • Production-grade AI system development and testing
  • Integration with existing platforms, databases, and workflows
  • User interface design and team training materials
  • Performance monitoring and optimization setup
  • Documentation and knowledge transfer to your team
4

Optimization & Scaling

Ongoing

Continuous improvement based on real usage data and business feedback.

Key Activities:

  • Performance monitoring and cost optimization
  • Feature enhancement based on user feedback
  • Additional use case identification and implementation
  • Team training and capability building
  • Strategic planning for AI expansion across the business

Want AI That Actually Does Something Useful?

I've built AI that people pay for and helped companies save thousands with smart automation. If you're tired of AI hype and want something that actually works, let's talk.

Most companies are either doing nothing with AI or wasting money on nonsense. There's a better way.