DistantNews
Support us
AI Agent Helps Users Discover Events When They Don't Know What They Want
🇸🇦 Saudi Arabia /Technology

AI Agent Helps Users Discover Events When They Don't Know What They Want

From Asharq Al-Awsat · () English

Translated from English, summarized and contextualized by DistantNews.

At a glance

In-depth Named sources Context piece
  • A booking platform uses artificial intelligence to help users discover events when they don't know exactly what they want.
  • The AI agent interprets informal requests in Arabic and English, asking for clarification if information is missing to ensure accuracy.
  • The platform emphasizes that the AI recommends available events rather than paid advertising, with official booking pages serving as the final authority on details.

Traditional search engines struggle when users don't know what they're looking for. Now, booking platforms are leveraging artificial intelligence to bridge this gap, transforming vague intentions into bookable options. Nadeem Bakhsh, CEO and co-founder of webook.com, explains that their AI booking agent was developed not because existing tools failed, but to enhance discovery for users uncertain about their plans.

The AI booking agent was not built because existing search tools were failing. It was designed to add another layer of discovery for users who do not yet know exactly what they want.

— Nadeem BakhshExplaining the motivation behind developing the AI booking agent.

While search and filters work well for specific needs, Bakhsh notes that open-ended questions require an AI system to understand context. The agent, initially supporting Arabic and English, uses natural language processing to interpret informal requests, including location, preferences, and group size. Users can simply ask for a "family activity" or "something nearby in the evening," and the system interprets the request, extracts key details, and matches them with live catalog options. Crucially, if information is missing, the agent is designed to ask clarifying questions rather than offer generic, potentially unsuitable recommendations.

Bakhsh acknowledges that AI systems make mistakes, stating the agent "should not pretend to know." When a request is unclear, it should seek more information. The official booking page remains the ultimate source for availability, prices, and terms, superseding any conversational details if changes occur or tickets sell out. If the agent cannot verify information, it directs users to official event details or human support. While user corrections can help, Bakhsh doesn't guarantee future accuracy.

search and filters remain effective when users have a clear target. Open-ended questions, however, require the system to understand context before it can surface the right option.

— Nadeem BakhshDescribing the different needs addressed by traditional search versus AI interpretation.

Trust becomes a commercial concern when AI agents not only find but also rank and recommend events. Bakhsh asserts that the system aims to match user intent with genuinely bookable options, avoiding the presentation of paid advertising as personal advice. Recommendations are driven by user-provided criteria like location, timing, group type, and activity preferences.

should not pretend to know.

— Nadeem BakhshStating the principle that the AI agent should ask for clarification rather than guess when a request is unclear.
DistantNews Editorial

Originally published by Asharq Al-Awsat in English. Translated, summarized, and contextualized by our editorial team with added local perspective. Read our editorial standards.

More Stories

From Our Blog