BotFast

Teams use BotFast to go from an idea to a running Telegram bot by starting with an existing project layout and then adjusting behavior through configuration. A typical workflow is to clone the repo, set environment variables, and edit a YAML file to define the bot’s commands, AI agent roles, and the plans you want to sell. Once the basics are set, you deploy and test in a private chat or group, then iterate by changing prompts, adding handlers, and refining access rules without rewriting the whole stack.

In day-to-day operation, BotFast is applied where you need consistent user onboarding and paid access inside Telegram. You connect it to MongoDB to store profiles, conversation state, and plan status, so you can track who is active, who is subscribed, and what context the bot should remember. Payments and plan checks are used in the message flow to gate premium features, enforce limits, and upgrade users automatically after purchase.

For richer interactions, creators wire in inputs beyond plain text. Users can send voice notes or images, and the bot can respond with analysis, summaries, or generated visuals. When image generation is enabled with DALL·E 3, workflows often include producing quick concepts, social assets, or draft designs directly in chat, then saving results and continuing the thread with follow-up edits.

After buying, access is granted by sharing a GitHub username, then customization continues with niche-specific prompts, moderation rules, and group automation. Support is available at [email protected], and pricing lives at https://botfast.dev/#pricing.