AdvisorBoard: Multi-Expert AI Advisory Panels

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  Landing Page

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  Boards

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  Selecting Personas

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  Multiboard

Inspiration

Every day, teams waste hours chasing domain experts – through messy Slack threads, long email chains, or costly consultant calls. Answers arrive slowly, in inconsistent formats, and are tough to share or audit.

We asked: what if expert advisory could be as fast and smart as ChatGPT, but also trustworthy, structured, and tailored for enterprises?

That’s AdvisorBoard.

What it does

AdvisorBoard is your AI-powered advisory platform that transforms how you get expert insights:

Build Your Board: Select specialized AI advisor boards – Product Development, Clinical Research, Holistic Wellness, and Educational Innovation – or mix and match for cross-domain questions.

One Prompt, Many Answers: Ask your question once and receive prompt, structured, verdict-first responses from multiple AI advisors.

Cross-Board Synthesis: Get clear consensus, identify tensions, and arrive at a single, well-rounded decision with our synthesized insights.

Audit-Friendly: Export branded PDFs of your consultations, perfect for reviews and compliance.

Safety Rails: Clinical and wellness boards include disclaimers and avoid diagnostic claims.

Polished UX: Premium hero section, skeleton loaders, sticky navigation, accessibility focus rings, and excellent performance (CLS < 0.02).

How we built it

Stack React + TypeScript + Tailwind (Vite) Netlify Functions (serverless LLM proxy) OpenAI (gpt-4o-mini) jsPDF + html2canvas for PDF export Built with Kiro

Spec-Driven Development: We defined our architecture, user stories, and domain schemas inside .kiro — resulting in cleaner scaffolds, faster builds, and modular components like PersonaLens, Advisory Panels, and MultiBoard.

Agent Hooks & Automation: Kiro's agent hooks automate the whole advisory flow. One prompt → multiple agents → response aggregation → PDF export triggered only when advisory-grade intelligence is ready.

Prompt Steering & Safety: Kiro enforces our output contract: Verdict → Why Now → 2-Week Plan → Risks & Mitigations PersonaLens ensures varied tones (e.g., CPO, PM, ClinReg) and prevents unsafe advice.

Vibe Coding & UI Polish: Premium touches like shimmer loaders, staggered reveals, focus rings — all powered by design tokens for a consistent visual theme.

Implementation Highlights

LLM Proxy: Serverless Netlify function = secure API key handling + no CORS headaches.

Resilient Fallbacks: Works even when LLM hits rate limits.

Performance & Aesthetics:

Color-themed boards (amber, blue, green, purple)

Subtle effects (glass, grain)

Speed wins (LCP ≤ 2.5s)

Challenges we ran into

Multi-board ID Mismatches → Solved via normalization + safe fallbacks.

CORS / Key Exposure Risk → Solved via serverless proxy + tiny client shim.

Mojibake (weird characters) → Fixed by enforcing UTF-8 headers + .

Scope Creep → We locked down demo scope: Landing → Multi-Board Consultation → Single Board Consultation

Accomplishments that we're proud of

Multi-Board Orchestration: Clean synthesis from diverse advisors.

Verdict-First Outputs: Executive-brief style clarity.

Accessibility & Performance: focus-visible reduced motion stable CLS/LCP metrics

Judge-Proof Demo: Analytics + robust fallbacks = never breaks.

Fully Open-Source: MIT-licensed, includes Kiro config on GitHub.

What we learned

Spec-first Development: Unified prompts, UI, and fallbacks = fewer regressions.

Persona Lenses: Boosted clarity and value of AI output.

Advisory-Grade ≠ Chat: Enterprise trust comes from structure, tone, and exportability.

What's next for AdvisorBoard: Multi-Expert AI Advisory

Judge Mode: Preloads boards/prompts in compact view for quick demo. RAG Add-on: Inject org policies/SOPs for contextual advisory. Human-in-the-Loop: Redline & approve before final PDF. Board Builder: YAML-to-Board creation UI for rapid expansion. Integrations: Slack/Teams sharing + scheduled advisory digests.

Built With

• jspdf
• kiro
• netlify
• openai
• react
• typescript
• vite