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Hey Benson is an AI powered event planning and management application designed to remove the friction from making plans with friends. Instead of long group chats, manual forms, and constant back and forth, users can simply chat with Benson and makes it easy to go from “what should we do?” to actually going out.
Planning social outings often turn into long group chats, missed messages, and unclear decisions. People spend more time coordinating than actually enjoying the event. While there are event apps and chat tools available, none fully handle planning, invitations, and coordination in one place using AI.
Benson allows users to create events using natural language, where the AI understands intent such as date, time, participants, and location preferences. Once an event is created, Benson automatically manages invitations using contact based delivery through SMS, email, and in-app notifications. A dedicated group chat is generated for each event, where Benson actively participates to assist with coordination, suggest nearby venues, and handle updates.
Hey Benson is designed as a communication plus coordination engine rather than a traditional event application. It removes the need for friend requests, manual forms, and repeated confirmations by relying on AI orchestration and automation rules.
Hey Benson uses AI driven workflow logic to handle the full event planning flow from a single user command. The system understands intent and executes a sequence of actions such as creating the event, identifying participants, sending invitations, setting up a group chat, and managing updates. Instead of only suggesting options, the AI directly carries out these steps, removing manual effort and keeping the planning experience simple and conversational.
The platform replaces traditional friend systems with a contact based social graph. Participants are identified directly from a user’s contacts, allowing instant invitations without onboarding friction. If a person is not saved in the contact list, users can still invite them by providing either a phone number or an email address. Benson uses the available contact details to send invitations through the appropriate channel. Invitees can RSVP with Yes, No, or Maybe through the app or a web invite page without downloading the application, allowing hosts to easily track responses. For email invitations, the system automatically generates an AI designed event poster to improve engagement and response rates.
Benson is embedded directly into every event related group chat. The AI responds contextually when tagged, assists with coordination, and supports decision making within the conversation itself. This transforms group chats from unstructured discussions into guided planning environments.
Hey Benson automatically manages event changes and notifications in real time. Updates to time, location, or event details trigger instant notifications across SMS, email, in-app notifications, and web-based invite pages. Channel based fallback logic ensures reliable delivery, keeping all participants aligned regardless of device or platform.
Natural Language Event Creation
AI Based Coordination and Decision Support
Contact First Invitation Model
Invite via Email or Phone Number
AI Generated Event Posters for Email Invites
Automated Reminders and Change Notifications
Channel Based Delivery with Fallback Logic
No Friend Request Dependency
Dedicated Event Based Group Chats
Works Across iOS, Android, and Web
Here are some challenges that our team encountered while working on the project:
Challenges
In the initial product flow, inviting participants required users to add friends before sending event invitations. This created unnecessary friction, slowed down planning, and made it difficult to invite people who were not already on the platform. The experience did not align with the goal of fast and effortless social coordination.
SOLUTIONS
The team redesigned the system around a contact based invitation model. Users can now invite participants directly using saved contacts or by entering a phone number or email address. Invitations are delivered through SMS, email, or web invite pages, removing the dependency on friend requests and allowing anyone to join an event without prior onboarding.
Challenges
Although the AI could understand user's intent from natural language input, early versions of the product still relied on manual forms to finalize event details. This interrupted the conversational flow and reduced the effectiveness of AI-driven planning.
SOLUTIONS
AI orchestration rules were introduced to automatically convert user intent into actions. The system now extracts event details such as date, time, participants, and preferences directly from chat input. Events, invitations, and group chats are created automatically, eliminating the need for form based workflows and keeping the experience fully conversational.
Challenges
During MVP testing, heavy reliance on third party location services resulted in rising API costs. At the same time, ensuring reliable delivery of invitations, updates, and reminders across SMS, email, and in-app notifications was critical for successful coordination.
SOLUTIONS
The team shifted venue and recommendation logic to an AI based approach with controlled usage to reduce dependency on costly external APIs. In parallel, a channel based communication system with fallback logic was implemented. If one delivery channel fails, the system automatically switches to another, ensuring reliable notifications and consistent coordination across platforms and devices.
Used to build a unified cross platform mobile application for iOS and Android with a consistent user experience.
Powered the backend architecture, handling event logic, AI orchestration flows, user management, and API integrations.
Enabled natural language understanding, intent parsing, event orchestration, and AI driven recommendations.
Supported real time group chat functionality and live message synchronization across users.
Handled email invitations, including delivery of AI generated event posters.
Hosted and scaled the application infrastructure, ensuring reliability and performance.
Sean is an AI/ML Engineer having over 20+ years of collective experience in the Tech industry. He leads end-to-end AI development processes, integrating cutting-edge technologies to deliver user-centric solutions. His expertise spans research, conceptualization, wireframing, interactive prototyping, and the design of intuitive user interfaces.
He is capable of overseeing projects through all stages, from architecture building to crafting actual layouts and focuses on leveraging artificial intelligence for optimal outcomes.
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