I appreciate how you’re making the messy middle of AI writing more legible. Your emphasis on building knowledge, co-writing with AI, and scaling output aligns closely with my experiences in developing AI tools for strategists. This is how I started thinking about your buckets:
Building Knowledge → This reminds me of how we model an organisation’s structural DNA: voice, logic, decision patterns, context. Without this layer of structured context, AI outputs stay shallow. With it, they start to reflect the organisation’s lived complexity.
Co-Writing with AI → This is the strategic augmentation layer. Like pairing a human strategist with a structural browser: the human drives intent, and the AI scaffolds the possibilities. That collaboration feels closer to infrastructure than workflow, which, for us, is a shift worth leaning into.
Scaling Output → agree. AI becomes a multiplier not just for content formats, but for clarity across teams, decisions, and transformation work. I see this with business genomes — once you’ve built one, the pattern matching becomes fast, scalable, and eerily sharp.
Your insights have sparked ideas for further refining these systems. I'd like to explore potential collaborations or discussions on integrating these approaches more deeply. Let's connect to share experiences and co-develop strategies that enhance AI-assisted writing systems.
I appreciate how you’re making the messy middle of AI writing more legible. Your emphasis on building knowledge, co-writing with AI, and scaling output aligns closely with my experiences in developing AI tools for strategists. This is how I started thinking about your buckets:
Building Knowledge → This reminds me of how we model an organisation’s structural DNA: voice, logic, decision patterns, context. Without this layer of structured context, AI outputs stay shallow. With it, they start to reflect the organisation’s lived complexity.
Co-Writing with AI → This is the strategic augmentation layer. Like pairing a human strategist with a structural browser: the human drives intent, and the AI scaffolds the possibilities. That collaboration feels closer to infrastructure than workflow, which, for us, is a shift worth leaning into.
Scaling Output → agree. AI becomes a multiplier not just for content formats, but for clarity across teams, decisions, and transformation work. I see this with business genomes — once you’ve built one, the pattern matching becomes fast, scalable, and eerily sharp.
Your insights have sparked ideas for further refining these systems. I'd like to explore potential collaborations or discussions on integrating these approaches more deeply. Let's connect to share experiences and co-develop strategies that enhance AI-assisted writing systems.
I needed to read this , I write about AI as well and I was lost , very lost , following features and new tools