The Council
Your personal board of advisors. Ask a strategic question and watch them deliberate.
The Problem
Founders and small teams make high-stakes calls without the room to make them. Not because they lack judgment — but because they don't have a CFO, a Head of Legal, or a VP of Product to pull in.
What fills the gap: one advisor, a Slack thread, and a gut call. Advisors help, but they're siloed. Boards are slow. The multi-function perspective that a full executive team would bring rarely lands in the same conversation at the same time.
Decisions get made with partial context. Wrong hires. Mispriced products. Missed timing.
The Proof of Concept
The Council is a demo of what it would look like if you had that boardroom. Describe a company, ask a strategic question, and eight AI agents — each with distinct functional expertise — deliberate in sequence.
The agents respond based on the question asked — the most relevant function speaks first, and each agent builds on what the previous ones said. This is demo scope, not MVP scope. The architecture supports live AI inference, but the demo doesn't need it to show the core idea.
How It Works
Relevance-based speaking order
The most relevant agent speaks first. Sales leads a hiring question. Finance leads a pricing question.
Context-chaining
Each agent builds on what the previous ones said. It's not 8 isolated opinions — it's a compounding conversation.
Follow-up awareness
Ask a follow-up and routing re-evaluates. The right agent takes the lead based on the new angle.
Structured verdict
After all 8 agents weigh in, the deliberation surfaces a verdict, reasons, and considerations.
3 sample companies, pre-seeded questions
To make the demo immediately engageable, we created three example companies (MailFlow, ShipFast, ChatBuddy) with preset questions. In a real product, you'd upload your own company context — financials, team, stage, challenges. We skipped that onboarding for the demo.
Meet the Council
Engineering
Technical feasibility, implementation complexity, operational risk
Design
User experience, visual direction, product aesthetics and usability
Product
Product roadmap, user needs, feature prioritization, market fit
Strategy
Big-picture thinking, long-term planning, competitive positioning
Finance
Budget, ROI, financial sustainability, resource allocation
Legal
Legal risk, compliance, contracts, regulatory constraints
Sales
Revenue generation, customer acquisition, pipeline and deal strategy
Marketing
Market opportunity, customer adoption, brand positioning
Demo vs. MVP Scope
Demo scope (what's here)
- ·Question-aware responses: agents respond based on what's asked, speaking in relevance order
- ·3 sample companies, 3 preset questions each — for easy onboarding, no company context upload required
- ·Follow-up routing via keyword scoring
- ·Context-chaining in response scripts
If built as an MVP
- ·Live OpenAI inference per agent, each with a distinct system prompt
- ·Persistent sessions and decision history
- ·Company context and memory: upload financials, team info, challenges — decisions are recorded over time
- ·Add, remove, and configure agents — define their expertise, adjust their focus, give them specific skills
- ·Team collaboration mode
Want to share a thought?
I'm always up for a good conversation — whether it's a question, a reaction, or an idea for where this could go. Find me on LinkedIn.