An AI agent for your Telegram and Discord
that never touches a private key

The problem in crypto and web3 projects

A token launch, a dApp or a wallet product pulls in a community before the team has the headcount to support it. The same questions repeat at volume: which network to use for a deposit, why a transaction is pending, what the current gas or bridging fee looks like, whether a given contract address is the real one. Industry estimates for active token and dApp communities put repeat FAQ traffic at 40 to 60 percent of all support messages, and that volume does not pause for time zones: a US-based team is asleep exactly when its Asian and European members are online and asking.

The second problem is adversarial. Crypto Telegram and Discord groups are a standing target for phishing: fake support accounts DMing “official” wallet-recovery links, cloned bots posing as the project’s own, and cloned contract addresses in replies under real announcements. A community manager scanning a fast-moving chat will miss some of these, and a single successful scam against one member tends to produce several more attempts within the same group as the scammer works the thread. Projects that survive this reputationally are the ones that catch and call out scam patterns fast and consistently, not occasionally.

The two problems compound: a team spending its limited hours re-answering “which network for USDT” has less attention left for the phishing link three messages below it. And unlike a retail support queue, a crypto community’s support channel is also its reputation surface: a slow or wrong answer about fees gets screenshotted and posted to a competing community within the hour, which makes consistency matter as much as speed.

Volunteer moderators help, but they rotate, burn out, and vary in how strictly they apply the project’s own rules, which is a weak foundation for something as sensitive as flagging scams or deciding what counts as a disputed transaction.

What we build for crypto and web3 projects

A FAQ agent grounded in your own docs. It answers from your documentation, your tokenomics or whitepaper, your FAQ channel history and your current fee and network information, approved by your team before it goes live. It does not improvise on anything that touches money or addresses: if a question falls outside its approved knowledge, it says so and escalates, rather than guessing a contract address.

Scam and impersonation detection. The agent watches for known phishing patterns (fake support DMs, cloned bot names, mismatched contract addresses, urgency language common in drainer scams) and can flag or remove messages, warn the channel, and alert your admins, depending on the moderation permissions you grant it.

A hard line around keys and disputes. The agent has no tool that can see, request or act on a private key, seed phrase or signed transaction. Anyone who posts one publicly gets an immediate warning to delete it; anyone asking about wallet recovery, a stuck or disputed transaction, or a lost key is routed straight to a human with the conversation attached. This is a design choice, not a configuration we expect you to disable.

Multi-language support. Global communities write in a dozen languages in the same channel. The agent answers in the language it is asked in, from the same knowledge base, so your documentation does not need a translator for every member to get a correct answer.

Telegram and Discord integration with admin visibility. The agent runs where your community already is, with an admin panel showing flagged messages, escalations and the questions it could not answer, so your team can see where the knowledge base needs an update instead of discovering gaps by accident.

Ticket logging for anything escalated. Every escalation keeps the full conversation history, so the human who picks it up is not starting from zero, and nothing about a key or a dispute depends on a screenshot someone remembered to take.

How it works in 2 to 4 weeks

1. Week 1: knowledge base and escalation rules. We collect your docs, FAQ history, fee schedule and the scam patterns you have already seen, and agree on exactly what the agent may and may not answer.
2. Week 1-2: channel integration. We connect Telegram and Discord (and a website widget if needed), set admin permissions, and wire up the escalation path to your team.
3. Week 2-3: scam-pattern tuning and internal testing. We run the agent against real historical messages from your community, including past scam attempts, to tune detection before anyone outside the team sees it.
4. Week 3: soft launch. The agent runs alongside your human moderators, answering a subset of messages while the team reviews its behavior.
5. Week 3-4: full launch and tuning. Full rollout to the community, with two weeks of close review and knowledge-base adjustment included in the package.

What it costs

Prices follow the AI agent service packages; the exact figure depends on how many channels, languages and products your community spans.

Typical results

Communities running a grounded FAQ agent typically see 40 to 60 percent of routine support messages answered without a team member involved, an industry range rather than a guarantee for any specific project, since it depends on how repetitive the question mix actually is. Scam-link response time commonly drops from however long it takes a human moderator to notice a flagged pattern to close to immediate, which matters most in the minutes right after a successful phishing attempt when follow-on attempts tend to cluster. Coverage becomes continuous across time zones instead of tied to when a core team member is awake. Our own numbers are in the case studies linked below.

Why Senator Media

• We build systems like this for our own crypto work first: our multichain wallet architecture and our own marketplace run by a team of AI agents are both places we had to get the guardrails right before trusting an agent with anything.
• The agent’s permissions are a closed list, not a suggestion: no tool exists for it to touch a key, and that is enforced in code, not just in a prompt.
• Pricing is fixed before work starts, with a working demo every week rather than one reveal at the end.
• After launch we keep tuning the knowledge base and scam patterns with you for two weeks as part of the package.
• We treat a community’s trust as the actual product: every escalation rule is written down and reviewable by your team, not buried in a prompt only we can read.

An AI agent handles your community’s inbound questions; many projects pair it with a site and Mini App built for the same security posture, or look at the broader AI agents and automation service for what else can run this way.

Tell us which channels your community uses and what has gone wrong before, and we will send back a fixed price and a two-to-four-week plan: get in touch.