How we built an internal
AI advisory council.
K5 Council queries multiple creator personas in parallel, then synthesizes a verdict on strategic decisions. Here's the full teardown: what it does, the stack, the time to ship, and how a business could set up something similar.
Get the teardownStop asking one AI. Ask a council.
Most operators using AI for strategy default to one model, one chat, one perspective. That's a single advisor with no peer review. K5 Council fans the same question out to multiple creator personas at once, then synthesizes the verdict back.
The result: a strategic check that takes seconds and reads like a real board call.
What the teardown covers
The persona library
How we chose creators to model, what we wrote into each persona, and the guardrails that keep a council voice from collapsing into generic AI output.
The stack
MCP server wiring, parallel dispatch, model selection per persona, prompt scaffolding, synthesis step. Names of every tool we used.
Time to ship
What the v1 looked like, when we shipped it, what we changed in the first two weeks of using it for real decisions.
How you could build one
A practical sketch of the same pattern for any business that makes strategic calls. What to model, what to skip, what the minimum viable version looks like.
Built for operators making real calls
Get the teardown
Drop your email. We'll send the full writeup, plus the stack diagram and a sketch of how you'd build the same pattern for your business.