ChatGPT Integration with InsideSpin
As a validation of AI-augmented article writing, InsideSpin has integrated ChatGPT to help flesh out unfinished articles at the moment they are requested. If you have been a past InsideSpin user, you may have noticed not all articles are fully fleshed out. While every article has a summary, only about half are fleshed out. Decisions about what to finish has been based on user interest over the years. With this POC, ChatGPT will use the InsideSpin article summary as the basis of the prompt, and return an expanded article adding insight from its underlying model. The instances are being stored for later analysis to choose one that best represents the intent of InsideSpin which the author can work with to finalize. This is a trial of an AI-augmented approach. Email founder@insidespin.com to share your views on this or ask questions about the implementation.
Generated: 2025-06-30 17:13:07
AI for Product Teams
Over the last 30 years or so, the number of coders has grown dramatically to accommodate professional needs. Starting below a million in the US in the early 90’s it is estimated there are well over 30 million professional software engineers as we head into 2025. That count does not include the millions and millions of web development tool users managing their own needs, with little formal coding training, relying on tools such as WordPress, HubSpot, Spotify, GoDaddy, AWS to generate the templated code that is needed.
The Surge of AI in Coding
For anyone who has used AI coding tools like CoPilot from GitHub, it is easy to see that AI tools thrive generating code. They are largely semantic language engines after all. Given most coding languages are meant to be semantically unambiguous for a computer to execute the code properly, the sophistication AI embodies to understand and generate ambiguous spoken languages like English is largely left unneeded.
Code generating tools still suffer from garbage-in/garbage out risks (as do AI chat tools like ChatGPT). This is where AI-augmented skills for human operators (you and me) become critical, to get the value you want to realize, and possibly, to preserve the jobs.
The Role of Product Managers
For Product managers, the essence of the Product role is the synthesis of streams of requirements (input) to create the output an Engineering team can use to economically build, and a business can take to market to generate revenue. The more unambiguous and consistent the output a Product team can produce, the more likely coders and sales teams will be able to meet the needs identified.
Value of Consistency and Clarity
While there is a general risk of homogenization of thought and approach as we become dependent on AI (as there was with spreadsheets in Finance long ago), the benefit for Product is alignment, consistency, and completeness of analysis from the generated artifacts produced over time.
Transformation of Roles
Coders and Product managers are two of the areas most ripe to be transformed through comprehensive adoption of AI. Jobs will change, and we'll explore how to migrate your talents to where AI drives them.
Adapting to Change
As AI continues to evolve, it's crucial for Product teams to adapt their skills and approaches. Here are several strategies to consider:
- Invest in continuous learning to stay updated on AI tools and technologies.
- Foster collaboration between coders and Product managers to enhance understanding of AI capabilities.
- Encourage experimentation with AI tools to find the best fit for your team's processes.
- Develop a clear strategy for integrating AI into existing workflows.
Conclusion
The integration of AI into product development is not just a trend; it's a seismic shift that has the potential to redefine how products are built and brought to market. Understanding the challenges and opportunities that come with this technology will be crucial for entrepreneurs and teams looking to thrive in an increasingly competitive landscape.
As we embrace these changes, it is essential to balance the efficiency gained from AI with the human creativity and strategic thinking that drives innovation. By doing so, Product teams can harness the full potential of AI while ensuring their roles evolve in a way that adds value to their organizations.
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