Source link : https://tech365.info/why-notions-greatest-ai-breakthrough-got-here-from-simplifying-all-the-things/
When initially experimenting with LLMs and agentic AI, software program engineers at Notion AI utilized superior code era, advanced schemas, and heavy instructioning.
Shortly, although, trial and error taught the workforce that it may do away with all of that difficult information modeling. Notion’s AI engineering lead Ryan Nystrom and his workforce pivoted to easy prompts, human-readable representations, minimal abstraction, and acquainted markdown codecs. The end result was dramatically improved mannequin efficiency.
Making use of this re-wired method, the AI-native firm launched V3 of its productiveness software program in September. Its notable characteristic: Cutomizable AI brokers — which have shortly turn out to be Notion’s most profitable AI instrument up to now. Primarily based on utilization patterns in comparison with earlier variations, Nystrom calls it a “step function improvement.”
“It’s that feeling of when the product is being pulled out of you rather than you trying to push,” Nystrom explains in a VB Past the Pilot podcast. “We knew from that moment, really early on, that we had something. Now it’s, ‘How could I ever use Notion without this feature?’”
‘Rewiring’ for the AI agent period
As a standard software program engineer, Nystrom was used to “extremely deterministic” experiences. However a lightweight bulb second got here when a colleague suggested him to easily describe his AI immediate as he would to a human,…
—-
Author : tech365
Publish date : 2026-01-03 01:05:00
Copyright for syndicated content belongs to the linked Source.
—-
1 – 2 – 3 – 4 – 5 – 6 – 7 – 8