Legacy docs break workflows — AI-native editor + workspace for LLM-first work

Legacy docs break workflows — AI-native editor + workspace for LLM-first work targets a $264B = 1.1B knowledge workers x $240/year average productivity-software spend total addressable market with high saturation and a year-over-year growth rate of 12-18% CAGR for productivity apps; AI-augmented workflows growing faster (~25%+ in early adopters).

Key trends driving demand: LLM ubiquity -- Developers and product teams are embedding language models across apps, making native-AI experiences expected.; Context-as-data -- Organizations treat embeddings and knowledge graphs as first-class data to power search, automation, and personalization.; Composable infra -- Vector DBs, serverless inference, and model APIs reduce infra lift and accelerate feature shipping.; Hybrid-privacy demand -- Enterprises want on-prem or private inference options, creating opportunities for privacy-first stack.; Workflow automation expectation -- Knowledge workers expect one-click automations that execute across docs, sheets and calendar..