Telegram rolled out a major Bot API update on March 31, 2026, then continued shipping features through April. The headline change was “Bots Managed by Bots”, which lets one bot create and control other bots through the API. Telegram also added a built-in open-source AI text editor, allowing developers to bring language generation and text refinement into the bot interface itself.
The shift is larger than a feature update. It changes how Telegram bots can be deployed and maintained. Tasks that once required backend work, webhook setup, conversation design, and server maintenance are now moving closer to visual configuration tools, reducing the amount of engineering needed for routine bot operations.
Telegram expands the base layer for bot operations
The update introduced three main capabilities. First, the AI text editor gives bot developers a native way to integrate open-source AI models without depending entirely on external APIs. Second, Bots Managed by Bots allows a project to run a master bot that can generate, configure, and monitor multiple child bots across different groups, channels, or use cases. Third, Telegram added engagement features such as Mighty Polls and Live Photos to strengthen community interaction tools.
These are official Telegram upgrades at the Bot API layer. They are not, by themselves, no-code products. The no-code experience comes from third-party platforms that sit on top of Telegram’s infrastructure and package those capabilities for non-technical teams.
Telewer and GPTBots target teams without engineers
Telewer describes itself as the first no-code AI Telegram bot builder. Its workflow starts with @BotFather, where users create a bot and obtain an API token. That token is then imported into Telewer, where users choose conversation style, AI model, and function modules before deploying the bot within minutes. The platform supports GPT models and open-source options such as Llama, along with a Master Bot structure and Telegram Business auto-reply functions.
GPTBots takes a drag-and-drop approach and focuses on enterprise customer service and lead collection. Its interface is closer to a conventional SaaS dashboard, making it easier for marketing or operations teams to work directly inside the tool. Other services mentioned in the source include Selzy, Chat Data, and yourGPT. The pattern is broadly the same: @BotFather issues the token, while third-party platforms define how the bot behaves.
Crypto projects already rely heavily on Telegram bots
Telegram has long held a special place in crypto. With TON deeply tied to the Telegram ecosystem, airdrop claims, NFT minting, on-chain interaction, project announcements, trading alerts, and community management often start inside Telegram groups or channels. That has made Telegram bots a core operating tool for many crypto-native teams.
The source points to trading bots such as Trojan, BONKbot, Maestro, Banana Gun, SolTradingBot, and GMGN, saying their monthly trading volumes often reach billions of dollars. In some cases, fee revenue from these bots has exceeded that of mid-sized centralized exchanges. CoinGecko has also created a dedicated Telegram Bot category to track related assets. Other projects have built around different use cases: Unibot once passed a $80 million market cap, LootBot became known for automated airdrop farming, and TeliGent focuses on anti-scam and spam filtering.
Before no-code builders appeared, a crypto team wanting an airdrop bot or a member screening bot usually needed backend support. That work is now shifting toward configuration steps that non-engineering staff can complete far more quickly.
Bot token exposure can hand over the entire community channel
The convenience comes with a sharp security trade-off. A Telegram bot token is effectively a high-privilege key. Anyone holding it can control the bot, read group messages, publish content, and manage member permissions. Handing that token to a third-party no-code platform means outsourcing more than setup. It means giving away a layer of community control.
If a platform is hacked, suffers a data leak, or acts maliciously, attackers could use the bot identity to push phishing links, fake project announcements, or purge member lists. For teams running large crypto communities, that kind of incident does not stay a technical problem for long. It becomes a trust problem.
The source highlights three checks before using a third-party bot service: whether the platform clearly explains how tokens are stored, whether tokens can be revoked at any time, and whether the service has gone through an independent security audit.
Lower barriers may help TON growth, but scam bots can spread faster too
Taken together, Telegram’s Bot API changes and the rise of no-code builders are pushing entry barriers lower across the bot ecosystem. For TON, the implications are obvious. The source notes that one of TON’s central aims is to turn Telegram’s 900 million users into Web3 users. If AI bots let projects cover more community workflows at lower cost, activity across TON-linked channels could increase.
The opposite side is just as visible. When a bot can be launched in minutes, low-quality bots and scam bots can also multiply in minutes. Fake support accounts, forged announcements, and phishing flows aimed at wallet credentials or private keys are likely to become easier to deploy at scale.