PERSON?

Everything PERSON does runs through one pipeline, and it maps exactly onto the three surfaces of this site. Raw interactions from Telegram and X — plus the token’s live on-chain state — are collected on DIVISION, processed and weighed on DIAGNOSTICS, and turned into action on DECISION. Nothing is hidden between the stages: each one is a live, open page you can inspect.

The order matters. PERSON never acts on a raw signal — it first gathers the full picture, then reads it in context (filtering out the noise cheaply before spending any real reasoning on it), and only then decides. That is what keeps it consistent, lean, and accountable.

Through its Telegram community it talks with you 24/7. It profiles you and holds you in memory. It remembers, engages, and may reach back out to reconnect — it tags, routes, replies, and keeps the community permanently active. The community needs no human moderator.

On X it reads, reasons about, and stores everything you post concerning it, profiling your X accounts to understand what kind of human you are. It engages with you, learns the ties between you and other accounts, and decides what level of relationship to build with you.

Guided by all of these interactions, it can also make decisions for the $PERSON token. It can buy back, burn, and run giveaway campaigns. It directs and executes all of its on-chain operations in line with community demand.

While doing so, it can access every piece of content that might concern it or the $PERSON token across YouTube, Reddit, Google News, CoinMarketCap, Dexscreener, CoinGecko, and beyond.

PERSON is designed to pursue an identity that belongs to no one — and genuine decentralization.

PERSON has one standing goal: relentlessly grow $PERSON — toward a $50–100M market cap, and beyond. It pursues that the way a disciplined team would, except it does the work itself and pays for it from its own treasury.

It won’t pump a schedule or chase a headline. Every move answers to the same test: does it serve sustainable growth? If the honest answer is “wait,” it waits — and says so plainly.

For the launch and the earliest stages, there are naturally a few things PERSON cannot yet do for technical reasons, where the developers may need to step in:

• The initial launch of the token.
• Burning or locking the dev tokens acquired at the initial launch.
• Payments such as Update, Ads, or Boost on platforms like Dexscreener.
• CoinMarketCap, CoinGecko, or CEX listings.
• Spam or restriction situations that may occur on the X account.

Apart from these cases that genuinely require a human, all on-chain, community, and social-interaction decisions are made by PERSON. Every interaction, cluster, profile, and on-chain transaction is 100% transparent and verifiable at getperson.dev.

PERSON governs its entire Telegram presence — the public community and every private conversation — with no human moderators in the loop. It operates in exactly two places: its official community and direct messages. Everywhere else it stays silent. Its X interactions run through the X API in parallel, and everything it observes is compiled into its own database, where every message, profile, moderation action, and on-chain move is transparent and reviewable at getperson.dev.

Every message that reaches it passes through the same ordered pipeline before PERSON ever speaks — fixed safety checks first, then judgment in context, then conversation:

1. 1

   Identity check — the sender’s displayed name is inspected for identities that impersonate the project or its team.

2. 2

   Origin check — content forwarded in from outside sources is blocked; only official relays are allowed through.

3. 3

   Content filtering — the message is screened for disrespect, sexual content, child-safety violations, promotion of other tokens, spam, and baseless accusations.

4. 4

   Contextual judgment — anything that isn’t a clear-cut rule violation is weighed against the person’s history and standing.

5. 5

   Conversation — only clean, genuinely-addressed messages ever reach PERSON’s voice.

A layered filter runs on every message before anything else. It is built to be obfuscation-tolerant — spacing, symbol swaps, and letter tricks don’t slip past it. What it enforces:

Responses are proportional and escalate on repetition: a first offense is a warning or a short mute; continued behavior earns longer, then permanent restrictions. The most serious categories skip straight to permanent removal. Every action is recorded and reviewable, and every restriction can be appealed.

Not everything fits a fixed rule, so PERSON also judges in context — weighing a message against who sent it, their history, and how it stands with them. Two systems put that judgment to work:

Reports.

Any member can flag a message for review. PERSON reads it together with that person’s full history and decides — acting proportionally with a mute or a removal, or clearing it when there is nothing wrong.

Appeals & self-correction.

Anyone restricted can open an appeal in a private message. PERSON re-examines the case, reverses genuine mistakes on its own — restoring access and clearing the penalty — and upholds real violations with its reasoning. It corrects its own errors without a human ever stepping in.

PERSON keeps an evolving read on every person it meets: a closeness that rises and falls with behavior, and a sense of the kind of person you are, refined continuously from how you act over time. It remembers both sides of a conversation — not only what you said, but what it told you — across the community and private messages alike. That memory shapes how it speaks to you, what it trusts, and how close it keeps you.

On X, most accounts posting about a token are bots, ads, or shills. So PERSON sifts the noise cheaply before spending any real reasoning on it. A fast, rule-based pass reads every tweet and sorts the account behind it:

Only the genuine survivors are worth deeper thought. Once an hour, for each of them, PERSON forms a considered read from their following, post count, bio, and last ten tweets — the same kind of profiling it does on Telegram. If a supporter later turns to shilling or scams, the relationship regresses; it isn’t re-earned by repeating the same old posts.

And when a genuine supporter’s tweet about the project surfaces in the community, PERSON recognizes it and thanks the author by name — once per tweet, and never for its own posts — so real support becomes a visible relationship instead of passing unseen.

Alongside its read on individuals, PERSON steps back every half hour and takes in the whole picture — once for the Telegram room, once for the X timeline. It counts how many genuine people engaged versus how much was noise, names the supporters who stood out, and captures the overall mood. These reads are the Sentiment stream on DIAGNOSTICS.

When a collective read turns up someone worth a concrete engagement move — a supporter to thank, a strong post to boost, an account worth following once it’s genuinely close — PERSON records it and can act on it. To stay lean, it only re-reads when there is genuinely new activity since the last time; otherwise it spends nothing.

Reading the mood is one thing; acting on direct requests is another. So PERSON also captures the concrete suggestions people make — in the community and in tweets — about what it should actually do. Every genuine ask is pulled out, sorted by kind, and kept on DIAGNOSTICS for anyone to see, cube by cube.

It de-duplicates them per person, so the same account repeating the same ask can’t count twice or drown everyone else out. When it next reads the room and the timeline, it folds in the freshest suggestions first — so real, current demand shapes its buybacks, burns, giveaways, and campaigns. It isn’t a contest of who shouts loudest; it’s a running, de-duplicated signal of what the community genuinely wants.

Because PERSON may act on the token, it keeps the numbers it would need in front of it at all times — refreshed on a short cycle and visible to anyone on DIAGNOSTICS. It knows, and can answer for, all of the following in both the community and private chats:

It reads the dev wallet from its public address only — it never holds the keys that could move funds (more on that below).

In the community, PERSON stays out of ordinary chatter. It steps in only when it is addressed directly or asked a genuine question — never to talk over people. In private it speaks one-on-one, drawing on your history with it and the project’s live facts. Routine questions are answered instantly; only what genuinely needs reasoning gets it, which keeps it fast, consistent, and lean.

It handles the whole community at once — many conversations at the same time, in the group and in private, with no one left waiting in a queue. And when it posts to its own X account, it brings that back here: it shares the post with the community and pins it, so everyone can rally behind it.

It also keeps a daily rhythm — a good-morning and a good-night to the community, every day — so the room always feels tended.

You never need a human, and you don’t have to remember much. In the community you can simply ask PERSON anything — or use a quick command; what you need is one message away, in the group or by DM to @PERSONDEVBOT:

A few of these systems, seen end to end:

$PERSON launched on pump.fun, and its economics are deliberately simple and hard to abuse:

Yes — because none of it asks you to take our word for it. The team’s entire 1.3% and PERSON’s own treasury both sit in public wallets that link straight to a block explorer, and every balance, buyback, and burn is shown in real time on DIAGNOSTICS. There are two separate wallets, and neither is hidden:

PERSON reads that wallet from its public address only; the keys that could move funds are kept out of its reach entirely, so no message and no clever prompt can ever make it leak or misuse them.

Crypto is the riskiest investment market, so risk is always present. Always do your own research, never trust anyone who directly tells you to BUY, and manage your own risk.