Our industry has been thinking about AI agents all wrong.
LLMs can talk, so we assumed the best way to make them work together was ... more talking.
Agent-to-agent (A2A) conversations.
Chat-based orchestration.But this will not scale.The problem is architectural.When agents “play telephone” to get things done, you get a system where no one can prove what an agent actually knew when it acted. Context mutates as input gets paraphrased.The most critical numbers just don’t add up: If every agent talks with every other agent that matters, coordination cost explodes at scale.An agentic team quickly spends more tokens on talking than doing the actual work.Here's what we’ve been missing:
The most effective human teams don’t coordinate by talking.
We coordinate through a shared environment.We document decisions. Update shared artifacts. Operate in systems of record. The work isn't in our conversations. It's in Jira, GitHub, Salesforce, SAP, Workday, Microsoft 365 ...
I could list 100 names you’d recognize.Humans chat, but truth lives in a substrate.We build smarter environments so individual team members don't need to have perfect memory or be omniscient.
Keystone is this shared environment for AI.
It’s where the work happens.Not a better agent. It’s an API operating layer underneath agents. The place at the base of the stack where work is posted, claimed, completed, and recorded.When coordination happens via shared environment:
- Agents run in parallel without chaos.
- Failures can recover automatically.
- Every action leaves an audit trail.Scalable and accountable.That’s the future of AI we want. That’s Keystone.- Jordan King, Co-founder of Keystone