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AI Agent Platform + Cross-Platform Product

HeyBean

HeyBean is a full-stack, cross-platform productivity system built around a simple product idea: instead of making people manage another set of tools, give them an AI agent that can help manage the work across those tools.

My role

Founder, product architect, full-stack engineer, and mobile engineer

Core stack

PHP · Laravel · JavaScript · Tailwind CSS · Vite · Flutter · Dart · Firebase Cloud Messaging · Stripe · ElevenLabs · Resend · OpenAI API · Hermes Agent Harness

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HeyBean product overview.
HeyBean product overview.

Challenge & approach

The challenge

Personal productivity data is fragmented, time-sensitive, and deeply contextual. The system has to coordinate calendars, tasks, reminders, notes, household schedules, notifications, and user preferences while keeping each person’s agent runtime isolated and dependable.

The approach

Harley designed HeyBean as a layered platform: Flutter delivers one mobile experience across devices, Laravel owns the application API and business workflows, and private agent runtimes provide personalized orchestration per user. Firebase Cloud Messaging, Stripe, ElevenLabs, Resend, and the OpenAI API extend the core product with notifications, billing, voice, email, and intelligence.

System architecture

Cross-platform client

A Flutter and Dart application provides a consistent mobile experience while supporting native notification and device behaviors.

Application platform

Laravel owns authenticated APIs, product workflows, user and workspace data, scheduling rules, and the stable contract used by the client.

Agent orchestration

OpenClaw and the Hermes agent harness support private runtime instances, personalized context, tool use, and agent-driven actions for each user.

Event and communication layer

Firebase Cloud Messaging, Resend, and ElevenLabs connect scheduled work to push, email, and voice experiences.

Product operations

Stripe and the surrounding backend workflows support subscription state and the operational requirements of a real consumer product.

Notable work & outcomes

  • Built the product across mobile UI, backend APIs, data and scheduling workflows, AI orchestration, and supporting cloud services.
  • Designed personalization around isolated agent runtimes so user context and behavior can evolve safely.
  • Connected AI actions to durable product workflows rather than limiting the assistant to conversational answers.
  • Balanced a broad personal-operations vision with modular service boundaries that can be developed and monitored independently.

Delivered outcomes

  • Created a unified cross-platform product for calendars, tasks, reminders, notes, workspaces, and household coordination.
  • Designed private, personalized AI-agent runtimes instead of a shared one-size-fits-all assistant.
  • Integrated the operational services required to turn an AI concept into a maintainable subscription product.

Need a system like this?

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