9 out of 10 multi-agent projects never leave demo mode
Not because the model is bad. Because the structure is missing.
Most people who try to build [ a team of AI agents ] end up with one agent talking to itself in five tabs.
The agents don't share context → Don't divide work → Don't know what the others are doing.
> stage 1: if your agent doesn't have a real loop, observe, act, iterate, you have a long prompt, not an agent
> stage 2: subagents need isolated context, the orchestrator never reads their raw transcript, only the summary
> stage 3: the orchestrator plans and delegates, the moment it executes, it drowns in details that belong inside subagents
> stage 4: without a shared task list it's not a team, it's five agents duplicating each other's work in parallel
> stage 5: a permissions file is what lets you sleep, the model cannot bypass it because the rule lives outside the model
a team of AI agents is not more model, it is more structure
the most ignored stage in every demo that died:
- durability...
when a 50-step task crashes at step 47 and starts from zero, that's not a model failure.
that's a missing write-to-disk call