AI Writing
AI writing, explained through how people remember
Most people do not remember features.
They remember moments when something clicked.
That is the problem I work on.
Turning systems into stories
Take OCR as an example. Most writing about OCR talks about accuracy percentages, models, and pipelines. That information is correct, but it is incomplete.
What people actually understand is the moment when a stack of scanned invoices suddenly becomes searchable, queryable, and useful. The story is not “OCR works.” The story is time collapsing.
That is the shift I look for.
Voice agents
Technically they are ASR, NLU, and orchestration layers. Experientially, they are the first time a user stops navigating menus and starts speaking naturally, and feels heard. That emotional transition is what people remember.
Memory systems
They are not about embeddings or retrieval strategies in isolation. They are about continuity: the moment when a product feels like it remembers you, not because it is clever, but because it respects context.
The gap
That is where technical writing usually fails and where storytelling begins.
What this looks like in practice
This approach shows up across formats, depending on the stage you are at.
Technical documentation: making systems legible so engineers understand not just what to do, but why it is designed this way.
Newsletters and blogs: bridging research and intuition, anchoring ideas in real situations, and letting readers arrive at conclusions themselves.
White papers: narrative coherence so the reader can explain your thesis to someone else after they are done reading.
Insight reports: synthesis that pulls signals out of noise, names patterns early, and frames questions teams have not fully articulated yet.
Who this kind of writing is for
This work is useful when:
• You are building something technically strong but struggling to articulate its value.
• Your product is correct, but your narrative is not landing.
• You want people to repeat your ideas accurately, not just skim them.
If you are only looking for fast content or SEO-driven output, this approach will feel slow. That is intentional.