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: 2025-07-04 06:12:35
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, and AWS to generate the templated code that is needed.
The Evolution of Coding and AI Tools
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).
The Importance of Human-AI Collaboration
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.
Benefits of AI in Product Management
- Alignment: AI tools help in aligning the objectives of various stakeholders by providing a common platform to analyze and assess requirements.
- Consistency: With AI-generated artifacts, the output remains consistent, reducing the chances of miscommunication.
- Completeness: AI enhances the ability to analyze data comprehensively, ensuring no critical requirements are overlooked.
The Risks of Dependence on AI
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.
Transforming Roles with AI
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
For professionals in technology, adapting to the integration of AI is imperative. This transformation requires a mindset shift, focusing on how to leverage AI tools effectively while also maintaining core human skills that cannot be replicated by machines.
Future-Proofing Your Career
- Embrace Lifelong Learning: Continuous education and training in new technologies and methodologies will be crucial.
- Develop Soft Skills: Skills like communication, empathy, and critical thinking will become more valuable as AI takes over more technical tasks.
- Focus on Strategic Thinking: Shifting your focus towards strategic roles that require human insight will safeguard your career in an AI-driven environment.
Conclusion
The future of technology businesses is undoubtedly intertwined with the rise of AI. For Product teams and coders, the effective use of AI tools can lead to improved processes, better products, and ultimately, greater success. However, as we embrace these advancements, it is essential to remain vigilant about the potential risks and ensure a thoughtful integration of AI into our workflows.
By understanding the challenges and opportunities presented by AI, entrepreneurs can navigate their technology businesses more effectively, positioning themselves for success in an ever-evolving landscape.
Word Count: 696