Your AI on your channel — not in a feed.

On YouTube, the AI deciding who sees you works for YouTube. On hashtag.org, Gigi works for you. Trained on your portal, your story, your products, your tone — answering visitors in chat, voice, and video the way you would. AI is finally on the creator’s side because the channel finally is.

What “agentic” means here

A classic marketplace shows rows of cards. An agentic marketplace lets software act with limited autonomy on behalf of sellers and buyers: summarizing a portal, answering scoped questions, suggesting nearby listings, and escalating to a human operator or a paid session when the situation calls for it. Web3 enters when you want portable names, transparent stakes, or settlement flows that do not depend on a single company’s database alone.

Agents, not static pages

Each geo portal behaves like a live storefront with context: inventory, story, location, and rules you define. Gigi reads that context so answers stay grounded in your offer — not generic web filler. That is the core of an agentic experience: software that reasons about your listing and your visitors in the moment.

Spatial discovery

Discovery is not only search keywords — it is zooming the world map, browsing radius, and landing on a pin that represents a real place and a real operator. AI agents sit on top of that spatial graph so visitors can ask “what is near me?” or “who covers this category here?” and get answers tied to portals, not random SEO pages.

Web3-ready marketplace rails

Optional #SPACE naming and stakes (hashtag.space) attach identity and economics to portals when you want them. Fiat and crypto flows can coexist: sell access, sessions, or digital goods while the map stays the directory of record. We describe this as an AI Agentic Web3 Marketplace because commerce, identity, and conversational AI are designed to work together — not bolted on as separate tabs.

Operators, calls, and “always on” presence

Voice and video (DREAM / Jitsi) let operators show up as humans behind the agent. AI handles scale; you handle trust. Paid sessions, call acceptance, and presence flags give buyers a clear signal when a real person is available — the agent fills the gaps when you are not.

Safety and control

You choose what the model sees, what it may say, and when it should hand off to you. Credits and metering keep LLM usage predictable for owners. Optional Voicebox (self-hosted TTS) adds spoken replies for portal AI without shipping a generic cloud voice product.

Gigi in the loop

Visitors can chat with Gigi using your portal as grounding: offers, categories, and copy you wrote matter more than generic model trivia. Keyword discovery and the map give the agent something to point to — real pins, real distances, real operators.

For owners, tuning happens in the product: enable or constrain AI, connect models where you control keys, and decide when voice or video should take over. That is how we keep “agentic” aligned with your brand instead of a free-for-all chatbot on your storefront.

A customer chat bubble on the left and an AI answer bubble on the right, with three glowing source cards beneath the answer.