Source of intelligence and the next step in AI content systems
A huge step forward in the conversation about AI use of AI LLMs and chatbots is the shift from generic prompting to owned expertise as the source. People still need stronger systems for collecting their own data and using that as the foundation.
You know how there is a source of income. Let us call this a source of intelligence. You heard it here first. Source of intelligence.
A source of intelligence is everything collected through the years that forms expertise. It includes the unwritten pieces of information that have been living in the mind but have not yet been placed on paper through speech through audio or through video. This matters for social media content newsletters trainings podcasts and any other platform where authority is built.
For founders content creators influencers artists artgalleries consultants trainers and a creative agency this source of intelligence becomes the difference between generic output and content creation with a point of view.
Your expertise already exists before the AI system
These are the insights behind stage appearances motivational speeches trainings TED style talks and highly sought after sessions on a specific subject. That is intelligence.
This intelligence needs to be gathered and stored in a structured place. Preferably a cloud based space. Once it is stored the next question becomes practical.
How do we repurpose this content and turn this intelligence into a digital training. A newsletter. A blog post. A podcast. A social media creation system. A content library for social media management.
This is where AI becomes useful. Not as a replacement for expertise. As a system that organizes transforms and adapts expertise into formats that serve an audience.
The real risk is generic AI output
Many businesses large and small fall into the same trap. They create generic information because they trust chatbots too quickly. Then they place that information publicly without enough review. When they get held accountable the blame shifts to AI.
The real issue is human intervention and human interaction. The person publishing the material is still responsible for the final output.
The way to reduce that risk is to build a source of intelligence first. AI performs better when it works from owned material. That material includes past trainings transcripts voice notes presentations articles client answers and internal frameworks.
This is especially important for outsourcing social media social media management and Social media management tools. Without a strong knowledge base the output drifts toward sameness. With a source of intelligence the output stays closer to the voice expertise and judgment of the person or company behind it.
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