AGENT MADNESS
THE BRACKETBRACKET ENTRIESBEST OF THE RESTSIGN IN
BEST OF THE REST

Eventful AI

The autonomous Networking Co-pilot that identifies, vets, and secures your spot at high-signal startup events while you sleep.

BACK TO BEST OF THE RESTVIEW BRACKET
Eventful AI
Builder
Ayesha Mascaewnhas
Build Type
Agent
Lifecycle
Working prototype
Consensus Score
78.3
CATEGORIES
ResearchAutomation / WorkflowPlanning / Coordination
Go Deeper
EventfulAI is a multi-agent system designed to maximize professional ROI by automating the event discovery and vetting lifecycle. While traditional tools are passive scrapers, EventfulAI operates as a proactive Decision Engine. Our Multi-Agent Architecture: The Scout Agent: Continuously crawls fragmented sources (Luma, Eventbrite, VC Portfolios) using semantic reasoning to identify high-leverage networking opportunities—such as "Stealth" mixers where Tier-1 VCs are confirmed attendees. The Intelligence Agent: Cross-references user-specific missions (e.g., "Seed-stage Fintech fundraising") against real-time signals. It doesn't just find "events"; it calculates a Relevance Score based on the actual power players in the room. The Concierge Agent: Closes the loop by managing the "Registration Pipeline." It identifies when an event requires an "Approval Request" and autonomously drafts hyper-personalized blurbs for the host based on the user's professional profile.
Stack Used
EventfulAI is built using a multi-agent orchestration stack combining LLM reasoning, structured data pipelines, and tool-based execution. Core stack: Lovable — rapid full-stack app generation and UI orchestration Claude (Anthropic) — primary reasoning engine for event evaluation, application drafting, and decision-making ChatGPT (OpenAI) — used for prompt iteration, fallback generation, and structured output refinement Cursor IDE — agent-assisted development and code orchestration Agent system design: Multi-agent architecture (Scout, Intelligence, Concierge agents) Tool-based execution layer for: event scraping (Luma, Eventbrite, web sources) registration flow analysis structured data extraction Custom scoring engine to compute event relevance and opportunity ranking Application generation pipeline to produce context-aware, event-specific responses Data + integration layer: Aggregation of fragmented event sources (Luma, Eventbrite, etc.) Structured event normalization + enrichment Profile-based personalization engine Agent capabilities: Continuous background discovery (event sensing layer) Goal-driven reasoning (matching events to founder intent) Action preparation (application drafting + registration prep) Human-in-the-loop execution (review + submit)