Hybrid teams.

What has to exist around a model so humans and agents can work on the same team, with trust?
And report what works, what breaks and how much value is left at the end. Here live the experiments, the math, and the questions about what this changes for us.

What has to exist around a model so humans and agents can work on the same team, with trust?
How do you bring AI into a mid-size company, area by area, proving value before talking money?
How do you turn fast AI innovation cycles into validated capabilities that enter existing products with provable value?
Can we simulate customers, teams and markets with AI agents to decide better — without confusing simulation with prediction?
Agent-to-agent protocol across systems. On the radar, not yet built into the platform.
EH · Harness for hybrid teams↗ag-ui-protocol/ag-uiUsingAG-UIAgent–UI protocol. Powers the visual blocks and Live Apps in the OrganIA platform.
EH · Harness for hybrid teams↗langchain-ai/langgraphUsingLangGraphStateful agent orchestration. Part of the agent-builder execution core.
EH · Harness for hybrid teams↗
FIG. 01 — HOVEROff the lab: , , and whiskies. They are hidden around here — go look.
Keynotes, workshops, fireside chats and panels on AI applied to how companies operate.
Why the next decade belongs to whoever builds the system where humans and agents operate together.
Healthy adoption: cognitive ROI, AI Slop, Cognitive Offloading and Model Collapse.
AI-Spec Development, vibe coding and the new roles on product teams.
New dates soon.
Experiments, real numbers and what went wrong. No spam, leave anytime.