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Thick AI wrappers

Derek Watson
Derek Watson

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🌐 Startups building today need to have "Thick AI wrappers", and maybe even more.

In today’s dynamic technology landscape, startups building their foundations need to embrace a strategy that goes beyond conventional approaches. The concept of “Thick AI Wrappers” is not just a suggestion; it’s quickly becoming a necessity, perhaps even more so than we realise.

📈 There’s a silver lining, though. The evolving AI landscape presents a massive opportunity for technological empowerment. The old-school ‘thin wrapper’ approach is becoming obsolete, as it’s rife with risks of idea replication (‘sherlocking’) and limitations of narrowly-focused BOTs. Instead, there’s a growing need for more comprehensive and holistic AI integration strategies.

🚀 For startups, adopting a ‘Thick Wrapper’ strategy is the key to success. This approach involves leveraging autonomous agents and maintaining independence from any single Large Language Model (LLM). It’s not just about integrating AI tools superficially; it’s about embedding AI deeply across the entire product stack to craft unique, high-value offerings that stand out in the market.

🔍 Delving deeper into the components of the ‘Thick Wrapper’ strategy, we see several critical aspects:

Data Moat Creation: Startups should focus on building a robust data ingestion stack, tailored to their industry. This involves enriching and refining the data to gain a competitive edge. Additionally, setting up a continuous feedback loop of external and internal user data is crucial for ongoing learning and improvement.

Custom Model Training: Moving beyond mere fine-tuning, startups should invest in machine learning models that are specifically tailored to their unique data sets. These models should progressively offer insights and capabilities that distinguish them from competitors.

Rapid and Accessible Value Delivery: Products designed under this strategy should deliver immediate, tangible benefits with minimal user input. The focus should be on delivering premium quality experiences, rather than overwhelming users with insignificant features.

Personalization and Automation at the Forefront: Advanced personalization tailored to individual user profiles is key. Additionally, developing automation workflows can significantly enhance efficiency and user engagement.

Revolutionising UI and UX: Utilising AI’s full potential goes beyond simple applications like chatbots. Startups should aim to create intuitive user interfaces with a minimalist approach. This involves leveraging existing AI integrations to provide quality results, avoiding overly complex systems like those seen in some analytics tools.

Conclusion:

🌟 To sum up, for tech-savvy startups venturing into AI, the journey involves much more than just superficially applying AI technology. It’s about embracing a comprehensive ‘Thick Wrapper’ strategy that encompasses building a data moat, enhancing capabilities with custom AI models, and delivering high-quality, personalised value. This approach will not only set them apart in a crowded market but also pave the way for sustainable success in the ever-evolving world of artificial intelligence.

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