everyone is shipping agents to those who have solved the data..but the biggest opportunity is to ship agents to those who don't have the ontology yet.
That has never been possible before, there wasn't price/value economic. Now there is.
@businessbarista@da_fant It's actually very difficult for most to grasp this, surprisingly. I think you have to fail at shipping AI solutions to fully understand this.
Everyone wants to “do something with AI.”
Most can’t tell you where their own data lives.
How can you trust any automation or AI assistant if it doesn’t know how your business actually operates?
Does it know your team escalates lease renewals above $500K to the VP before they hit the deal committee? Does it know your Yardi GL mapping changed last quarter and half your reports still pull the old codes?
AI needs the operational truth of your business. Not outdated SOPs. Not a workshop. Real, executable knowledge, the kind that currently lives in your best people’s heads and their spreadsheets.
I’m spending my next years solving this problem for businesses and their AI agents.
I've wrote a practical guide for CEOs on how a real estate firm can start mapping that knowledge today. Full guide in comments 👇
After many deployed, specialized agents and attemps of the same, I've realized that we lack the basic knowledge foundations and operational truth of most businesses. We can't even know the right use cases, yet alone deploy effective agents if we don't have the true context of how one business runs.
Every organization runs on knowledge that isn't written down anywhere. A support lead resolves an escalation because she remembers a workaround from two years ago. A sales rep closes a deal because he knows the one pricing exception the VP approved over Slack. A warehouse manager reroutes a shipment because he's seen this supplier delay before.
This can't be extracted from SoPs, docs or workshops. We need a knowledge layer that extracts and exposes the truth of how ine business runs.
AI changes that equation completely. And most companies aren't ready.
CRMs and Todos hold operational truth, data and knowledge that docs, SoPs and managers don't always have. Agents can only be effective if they have true context. I think we need a better way to extact and use that knowledge. Curious if and how you at Todoist plan to expose that knowledge for agents.
@gilgNYC Most orgs are not using Claude Code still, most dev teams are still using AI at a very basic level. There is no opportunity or incentive for it at their 9-5, so winter break makes sense. Pattern is the same, most companies innovate once and then for some reason can't change
@_mctrinh My creativity is low in the morning, so if I have to code something early, usually I'll set specific tasks the night before that don't require me to innovate much in the morning
The most effective software teams at the end of 2026 will be wildly more productive than even the most effective software teams from the beginning of 2025.
In less than 24 calendar months we'll have gone from one paradigm for software development to a new one that yields vastly more software than before.
A single developer with multiple agents running in parallel paired with a software delivery process optimized for agentic development will run circles around everyone else.
@scottastevenson This took me long to understand. Not everyone wants to figure it out, not everyone thinks about how to make the business work. Actually, most want to have it figured out for them.