DiscoverTHE EDGEAI Products: Why ‘Good Enough’ Beats Perfect
AI Products: Why ‘Good Enough’ Beats Perfect

AI Products: Why ‘Good Enough’ Beats Perfect

Update: 2024-11-14
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Description

Guest: Ferdinand Terme, Lasqo AI

Key Topics

  • Why vertical AI startups are winning against tech giants
  • Building B2B AI products vs features
  • The role of human-in-the-loop in scaling AI solutions
  • Transitioning from consulting to AI entrepreneurship

Main Insights

Path to Entrepreneurship

  • Started at McKinsey Casablanca (French-speaking Africa focus)
  • Joined Alma during hypergrowth (50 to 400 employees)
  • Explored Fintech before pivoting to AI/creative space

Building Lasqo AI

  • AI designers for marketing teams in SMBs
  • Focused on brand-consistent visual asset creation
  • Accessible through Slack integration
  • Uses custom-trained models (LoRA) for each brand

Why Focus Wins

  • Large companies struggle with maintaining quality across broad offerings
  • Startups can:
    • Build deeper rather than broader
    • Maintain tight feedback loops
    • Take calculated risks
    • Focus on specific use cases

Human-in-the-Loop Strategy

  • Initial model training with brand guidelines
  • Cost-effective for B2B recurring revenue model
  • Client feedback drives continuous improvement
  • Balance between automation and quality control
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AI Products: Why ‘Good Enough’ Beats Perfect

AI Products: Why ‘Good Enough’ Beats Perfect