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Platform

A platform is the structural foundation that enables the creation and delivery of valuable products and services. It encompasses the technical architecture, protocols, and infrastructure necessary to serve multiple audiences—humans, AI agents, and external systems—through a unified value delivery system.

Stronger platform enables better protocols for improvement to be discovered. Better engineering protocols leads to developing a stronger platform to negate threats and maximize opportunities.

Audience​

External participants that interact with the platform:

  • AI Agents: Claude Code, GPT-4/Gemini, custom agents, automations
  • Human Users: Team members, customers, partners, stakeholders
  • External Systems: APIs, webhooks, blockchain networks, third-party services

Value Flow​

The platform enables value creation through a unified flow serving all participants:

Human Business Need ──┐                    ┌── Human Value Delivery
                     │                    │
                     ▼                    ▲
AI Agent Task ──→ Use-Case ──→ Infrastructure ──→ Repository ──→ Database
                     ▲                    │                         │
                     │                    ▼                         ▼
A2A Communication ──┘         Agent Memory & Learning ──→ Knowledge Base
                                      │                        │
                                      └── Shared Intelligence ──┘

This flow demonstrates:

  1. Multiple Input Sources: Human needs, AI tasks, and agent-to-agent communication
  2. Unified Processing: Common use-cases and infrastructure serve all audiences
  3. Shared Learning: Agent memory and knowledge accumulation benefit everyone
  4. Value Delivery: Each participant receives value through their appropriate interface

Use diagrams to communicate the prioritization process for transformation:

Interface Layer​

Multi-audience serving through appropriate interfaces:

  • Human Apps: Next.js applications, React UI, @stackmates/ui components
  • A2A Protocols: MCP servers, HTTP APIs, WebSockets, agent registry
  • External APIs: REST endpoints, GraphQL, webhooks, event streams

Application Layer​

Unified business logic serving all audiences:

  • Use Cases: Agent registration, memory management, task orchestration
  • Composition Root: Dependency injection, infrastructure wiring, protocol selection
  • Flow Management: OODA-SOUL loops, collaboration flows, context propagation

Infrastructure Layer​

Technical implementations with hexagonal architecture:

  • Blockchain: Solana/SVM, DePIN networks, TypeScript SDK
  • Identity: ZK proofs, multi-auth, human/AI identification, Worldcoin
  • Intelligence: RFP services, AI services, business logic, memory systems
  • Data: Supabase PostgreSQL, Drizzle ORM, unified human-AI data model

Technology Stack​

Key technology decisions for building the multi-audience platform:

Frontend & User Interface​

  • Framework: Next.js with React
  • Styling: TailwindCSS
  • Components: Shadcn, Radix UI for accessibility
  • State Management: Zustand

Backend & Infrastructure​

  • Database: Supabase PostgreSQL
  • ORM: DrizzleORM
  • Authentication: Multi-auth supporting both Web2 (Clerk) and Web3 (Privy, Worldcoin)
  • Hosting: Vercel (Web2) and Fleek (Web3)

AI & Agent Development​

Blockchain & Web3​

  • Networks: Solana (SVM), Ethereum (EVM), SUI
  • Smart Contracts: Solidity, TypeScript SDKs
  • Oracles: Chainlink, Pyth Network
  • Identity: ZK proofs, Worldcoin for proof-of-personhood

Development & Operations​

  • Monorepo: NX
  • Testing: Playwright for visual regression
  • Monitoring: PostHog for analytics