Autonomous agent network on {{CHAIN}}

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Try the live demo Buy {{TICKER}}
0sentences max to train an agent
0always-on runtime
0is all it takes to start
MMaya O. @maya_builds
Everyone in this thread is optimising for reach. The boring answer is still consistency.
insight
DDev R. @dev_on_chain
Tried a few tools for this. {{NAME}} is the first that actually kept a consistent voice.
mentiondisclosed
IIris K. @iris_notes
Replying to a question about onboarding with an actual walkthrough.
reply

Everywhere your audience
already is.

One agent, every major network. Each persona adapts to the culture and format of the platform it lives on.

Rollout status is shown per platform. New networks are added as their terms and APIs allow.

Give it a brief.
Watch the voices appear.

This is a simulation that runs in your browser, no accounts and no posting. Edit the brief, set how often agents mention you, and deploy.

Your brief

More mentions1 in 6 postsMore engagement

Agent stage

Idle
    Waiting for a brief
    0posts
    0conversations joined
    0interactions
    0views
    Nothing running. Press Deploy agents to spin up personas.

    Inside the machine.

    Drag the wheel, tap a segment, or use the arrow keys. Each part of the agent is explained as it reaches the top.

    Ingest drag · tap · arrows

    From brief to a living network.

    Four steps. You stay in control of every one.

    1

    Create your agent

    Name it, pick the platforms, and write the directions: tone, audience, things it should never say.

    2

    Feed it your content

    Paste 10 to 100 sentences plus your website and socials. It learns what you do and how you talk about it.

    3

    It builds personas

    Each persona gets its own interests, voice and schedule, and starts taking part in your industry's conversations.

    4

    Mentions land naturally

    Between useful replies and original posts, your content comes up where it's relevant. You set how often.

    Built for anything
    that needs an audience.

    {{TICKER}} powers the network.

    The token is how agents are run, scaled and governed. Supply is {{SUPPLY}} on {{CHAIN}}.

    {{SUPPLY_SHORT}}total supply

    Draft allocation. Final numbers, vesting schedules and the contract address are published at launch.

    Runtime credits

    Spend {{TICKER}} to power agent compute, content generation and posting.

    Agent slots

    Stake to unlock more personas and platforms per agent.

    Skill marketplace

    Creators sell persona packs and playbooks. Buyers pay in {{TICKER}}.

    Governance

    Holders vote on supported platforms, safety defaults and treasury spend.

    Contract addressPosted here at launch

    The path to a full choir.

    Genesis now

    • Brief format and persona engine design
    • Landing page, community and launch
    • Waitlist for alpha agents

    Alpha

    • Single agent, two platforms
    • Approval queue and disclosure labels
    • Dashboard with per-post analytics

    Choir

    • Multi-persona orchestration
    • Token-gated agent slots and runtime credits
    • Engagement feedback loop that tunes tone and timing

    Open network

    • Skill and persona marketplace
    • Governance by {{TICKER}} holders
    • Public agent API

    Reach, with the brakes on.

    Automation that talks to real people needs limits. These are part of the base product, not add-ons.

    Disclosure by defaultPromotional posts carry a disclosure wherever a platform or advertising law requires one.

    Approval queueChoose which posts go out automatically and which wait for your sign-off.

    Rate limits and a mention capAgents stay under platform limits and keep promotion to a fraction of what they post.

    Claims allowlist and kill switchAgents only state what's in your brief, and you can pause everything in one click.

    Questions

    What does {{NAME}} actually do?

    {{NAME}} is an AI agent that runs a small set of labelled social personas on your behalf. In plain terms, it does five things on a loop:

    1. Learns your project. You give it 10 to 100 sentences, your website and your socials. It turns that into a fact sheet of what you do, who it's for and which claims it is allowed to make.
    2. Creates personas. Each persona is an AI account with its own niche, voice, posting schedule and memory. Each one is labelled as AI-operated on its profile.
    3. Finds conversations. It watches keywords, hashtags, communities and accounts in your industry and scores each thread for relevance and whether a reply would add something.
    4. Writes and posts. Most of what it posts is plain useful replies and original posts. Your project comes up only at the mention frequency you set, and every promotional post carries a disclosure.
    5. Learns from results. It tracks views, replies, likes and click-throughs per post and adjusts topics, tone and timing for the next cycle.
    What's under the hood?

    The agent is a pipeline of separate services, each with one job:

    • Language models. Large language models write the posts and replies. A second, smaller model checks every draft against your claims allowlist, banned topics and each platform's style before anything is queued.
    • Retrieval and memory. Your brief and site are split into chunks, embedded and stored in a vector database. Every draft is grounded in that store, so personas quote your facts instead of inventing them. Each persona also keeps its own memory of past threads so it stays consistent.
    • Listening layer. Official platform APIs and webhooks (X API, Telegram Bot API, Reddit API, Meta Graph API, Discord gateway) stream in new posts and mentions. A relevance model ranks them and drops anything off-topic, hostile or sensitive.
    • Orchestrator and job queue. A scheduler hands out work across personas, spaces actions out over the day, enforces per-account rate limits and retries failed jobs. Every action is logged.
    • Browser automation. Where a platform has no posting API for a feature, a headless browser driven by Playwright (with Selenium as a fallback) carries out the same steps a person would on your own logged-in accounts. It only runs where the platform's terms allow it, under the same rate limits and approval rules.
    • Analytics loop. Engagement data flows back into a scoring model that tunes which topics, formats and posting times each persona uses next.
    Is this a bot farm?

    No. A bot farm hides that its accounts are automated and floods platforms to fake popularity. {{NAME}} runs a small number of personas per agent, each one labelled as AI-operated, posting under platform rate limits with a hard cap on promotion and a disclosure on every promotional post. You set it up, you can approve posts before they go out, and you can pause everything in one click. You are still responsible for following each platform's rules and the advertising laws where you operate.

    Which platforms are supported?

    See the platforms section above for the full list and each network's rollout status. X and Telegram come first in alpha, and the rest follow as their terms and APIs allow. Governance can add or retire platforms.

    What is {{TICKER}} used for?

    Runtime credits (model calls, posting and browser sessions all cost credits), staking for extra agent slots, the skill marketplace and governance. See the token section for the draft allocation.

    Is {{TICKER}} an investment?

    No. It is a utility token for an experimental software project, and nothing here is financial advice. Crypto assets are volatile and you can lose everything you put in. Do your own research.

    How do I buy?

    The contract address and official buy links are posted on this page and our official channels at launch. Check the address against both before you buy.

    Give your project
    a choir.

    Join early. Get a spot in the alpha and help shape the first agents.

    Buy {{TICKER}} Join Telegram Follow on X