Delegate

The company appears to be a solo-built AI meeting agent named Delegate, designed to represent users in Zoom meetings with evidence-based responses, live browser presentation, and authority-aware decision-making. The author states that it uses GPT-5.6 models, speech-to-text, text-to-speech, and browser automation tools to join meetings, retrieve relevant documents, and present information visually.

What changed: This project is a self-reported hackathon submission, not a commercial product or service. It represents an experimental approach to AI meeting agents that go beyond passive summarization toward active representation with guardrails.

Single most important open question: Is there any evidence of actual user adoption, revenue, or traction beyond the author's own description?

The description states that Delegate is an AI meeting agent that:

• Joins Zoom meetings in real time
• Listens and speaks during meetings
• Represents the user’s position while they are away
• Retrieves evidence from documents before answering questions
• Presents webpages or workflows live during meetings
• Makes decisions based on a defined "meeting brief" with goals, policies, and reference materials
• Logs all actions in a post-meeting commitment ledger

It is built using JavaScript/Node.js and integrates tools like GPT-5.6 Terra/Luna, Deepgram Flux, Attendee.dev, Browserbase, and OpenAI's text-embedding-3-small.

Not evidenced: No information about actual functionality, performance, or user experience beyond the author’s claims.

The author states that Delegate was built to solve a single bottleneck in enterprise AI adoption: "What would it take to actually trust an AI to represent you in your meetings?"

It positions itself as:

• A real-time meeting representative, not just a passive recorder or summarizer
• An agent that answers with evidence, defers when needed, and can screen share
• A tool that bridges verbal explanation and visual demonstration
• A trustworthy alternative to generic AI tools

The author also says it is exploring a new category: moving away from note-taking toward autonomous, responsible AI representation.

Inference: The positioning implies an attempt to differentiate from existing AI meeting tools by emphasizing trustworthiness, evidence-based responses, and visual demonstration capabilities.

Not evidenced: No market research, competitive analysis, or user feedback on positioning.

The description states that Delegate is built for enterprise users, particularly those seeking to:

• Represent themselves in meetings without being present
• Ensure AI responses are grounded in policy and documentation
• Have a tool that knows when to escalate decisions back to the human owner
• Use AI to demonstrate workflows or information visually during meetings

It is implied that enterprise decision-makers who rely on structured processes, compliance, and accountability would be the primary users.

Not evidenced: No specific customer segments, personas, or use cases beyond the author’s own vision.

The description does not contain any information about:

• How the product will be monetized
• Whether it is a SaaS offering or a one-time tool
• What pricing structure might exist (if any)
• Any revenue model, subscription plans, or licensing terms

Not evidenced: No business model or pricing details.

The author states that Delegate was built using Codex, with GPT-5.6 Terra and Luna models, JavaScript/Node.js, and a tech stack including:

• Deepgram Flux (speech recognition/synthesis)
• Attendee.dev (Zoom integration)
• Browserbase (virtual browser control)
• OpenAI's text-embedding-3-small (document grounding)

The system is described as using a state machine to coordinate audio streams, browser actions, and user dashboards.

Not evidenced: No information on scalability, reliability, or production deployment. No mention of infrastructure, data handling, or security practices.

The description states that this is a hackathon submission, not a commercial product.

It includes no evidence of:

• Customers or users
• Revenue or monetization
• Product usage metrics
• Iteration history or versioning
• Any form of market validation or feedback

Not evidenced: No traction, adoption, or maturity beyond the initial build.

The description does not include any information about:

• Competitors in the AI meeting agent space
• How Delegate compares to existing tools (e.g., Otter.ai, Notion AI, Zoom’s AI features)
• Market size or competitive positioning

Not evidenced: No competitive analysis or market context.

The author states that Delegate is a solo-built hackathon project, with no team beyond one person (Ray Sankhyan).

Key risks and open questions include:

• Single-person development: No team, no support structure, no scalability
• Unverified claims: All features are self-reported without independent validation
• No traction or revenue: The tool is not yet commercialized or adopted
• Unclear path to market: No evidence of product-market fit or go-to-market strategy
• High technical complexity: Integrating Zoom, browser automation, and AI reasoning in real time is technically challenging

Inference: The project may be a proof-of-concept rather than a viable commercial offering.

1. What specific enterprise use cases have you validated with potential users?
2. How do you plan to scale beyond a single developer’s capacity?
3. Have you tested the system in live meetings or only in simulation?
4. What is your roadmap for integrating calendar tools, organization-wide policies, and other platforms?
5. Are there any legal or compliance concerns around AI representation in meetings?
6. How do you intend to monetize this tool if it’s not a SaaS product?