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Why GPT tools stall — and how Daena fixes it

Generic GPT/autogpt stacks struggle with coordination, memory, and auditability. Daena changes the operating model: it is an AI VP orchestrating 48 agents across 8 departments using the Sunflower‑Honeycomb architecture.

What typically breaks

• Lack of cross‑department structure → agents talk past each other
• No shared handshakes → brittle coordination and deadlocks
• No timing/progress → auditors can’t verify completion
• Single‑agent mindset → tasks don’t scale organization‑wide

The Daena model

• Border‑first handshakes: open communication channels before work starts
• Department orchestration: Strategic→Growth→Research→Data→Border→Exec
• Voice‑synchronized demos: narration mapped to UI state and progress
• CMP pipeline: end‑to‑end content/process orchestration with telemetry