The Problem and the Fix
Without a skill
- Most guides show you how to start a bot but not how to keep it running after you close the terminal.
- ChatGPT doesn't remember conversation history by default, so bots feel broken after two messages.
- Without a system prompt, ChatGPT goes off-topic and sounds nothing like you intended.
With aidowith.me
- Ship a bot with multi-turn memory so it holds context across a full conversation.
- Write a system prompt that keeps each reply on-brand and on-topic.
- Deploy to a persistent server so your bot keeps working while you sleep.
Who Builds This With AI
Founders
Move fast on pitches, pages, research. AI as your first hire.
Marketers
Content, campaigns, and briefs done in hours instead of days.
Sales & BizDev
Prep calls, draft outreach, research prospects in minutes.
How It Works
Set up your bot token and API key
Register with BotFather, grab an OpenAI key, and run your first test message.
Add context memory and a system prompt
Build a simple message history array and write a prompt that defines the bot's behavior.
Deploy to a server with a webhook
Push to Railway or Fly.io and confirm your bot responds 24/7.
Build Your Telegram ChatGPT Bot
Follow the 14-step route and deploy a working Telegram bot powered by ChatGPT in one session.
Start This Skill →What You Walk Away With
Set up your bot token and API key
Add context memory and a system prompt
Deploy to a server with a webhook
Deploy to a persistent server so your bot keeps working while you sleep.
"My bot was answering user questions in Telegram while I was asleep by night two. The deployment step was the game changer."- Community manager, SaaS startup
Questions
You need a Telegram bot token from BotFather and an OpenAI API key. A short Python script forwards messages to ChatGPT and returns replies in the same chat. The aidowith.me Telegram Bot route covers the full 14-step build for a working Telegram ChatGPT bot, including deployment to a server that keeps it running around the clock. Most users finish within 3 hours.
Not by default. You have to pass conversation history with each API call. The route walks through how to build a message history array that maintains context across a full session without hitting the token limit. This is the step that makes the bot feel like a real assistant instead of a one-shot responder with no memory between messages.
Running costs depend on message volume. Using GPT-4o-mini, a bot handling a few hundred messages a day costs roughly $1-5 per month. The route includes guidance on choosing the right model tier and setting up usage monitoring so costs don't surprise you at the end of the billing cycle. You can start on the free tier to test the setup.