CloudClaw is a SaaS platform that lets you deploy your own OpenClaw AI assistant on Telegram in under 60 seconds. No SSH, no servers, no DevOps — just pick a model (Claude, GPT-4o, or Gemini), connect your Telegram bot, and go live.

OpenClaw is an open-source AI assistant framework that connects large language models like Claude, GPT-4, and Gemini to messaging platforms. CloudClaw hosts and deploys OpenClaw instances for you in isolated containers.

How fast can I deploy an AI agent with CloudClaw?

Under 60 seconds. Choose your AI model, connect your Telegram bot token, and CloudClaw handles the rest — container provisioning, networking, and configuration are fully automated.

Which AI models does CloudClaw support?

CloudClaw supports Anthropic Claude (including Claude 4 Sonnet and Opus), OpenAI GPT-4o, GPT-4 Turbo, and Google Gemini models. You bring your own API key and choose the model during deployment.

How much does CloudClaw cost?

CloudClaw offers two plans: Starter at $30/month for 1 active agent with active support, and Pro at $85/month for up to 5 active agents with priority support. You can upgrade or cancel anytime.

Do I need technical skills to use CloudClaw?

No. CloudClaw eliminates all the complexity of server setup, SSH, Docker configuration, and environment management. If you can copy-paste a Telegram bot token and an API key, you can deploy an AI agent.

beginner7 min read

How to Build a Research Analyst Bot on Telegram — Step-by-Step Guide

Deploy an AI research assistant capable of summarizing 50-page PDFs and synthesizing data directly in Telegram without writing a single line of backend code.

Building a dedicated research analyst bot on Telegram allows you to parse complex documents and extract critical insights directly from your mobile device. Using CloudClaw, you can bypass the traditional DevOps overhead and connect powerful LLMs to your Telegram workspace in under 60 seconds. This guide covers everything from obtaining your Telegram API token to crafting the perfect system prompt for deep-dive research.

What You'll Learn

Acquiring a secure Telegram Bot Token via BotFather
Selecting the optimal LLM for parsing dense academic and business reports
Writing a system prompt optimized for unbiased data synthesis
Deploying your bot instantly using CloudClaw without server configuration

Prerequisites

A Telegram account
A CloudClaw account
Clear research objectives or a specific niche for your bot

Step-by-Step Guide

Get Your Telegram Bot Token

Open the Telegram app and search for the verified BotFather account. Send the /newbot command, choose a professional name for your research assistant, and save the 46-character HTTP API token provided.

Keep this token completely private as it grants full control over your bot.

Do not commit this token to public GitHub repositories if you ever export your configuration.

Define Your Research System Prompt

Craft a system prompt that instructs the AI to act as a senior research analyst. Specify that it must cite sources, use objective language, and summarize long texts using bullet points and executive summaries.

Include a constraint like 'Always ask clarifying questions if the research query is too broad.'

Choose Your AI Model

Select an LLM with a massive context window capable of handling large document uploads. Claude 3.5 Sonnet is highly recommended for its 200,000 token context window and superior document parsing capabilities.

You can connect to over 300 models via OpenRouter in CloudClaw if you need specialized industry models.

Connect to CloudClaw

Log into your CloudClaw dashboard and click Create New Agent. Select Telegram as your platform and paste the BotFather API token into the integration field.

CloudClaw automatically handles webhook registration and secure server hosting for you.

Configure Document Handling Settings

Enable file and media sharing within your CloudClaw bot settings to allow PDF and CSV uploads. This ensures your bot can process raw data files directly from your Telegram chat.

Set a file size limit reminder in your bot's welcome message so users know the constraints.

Telegram's standard Bot API limits file uploads to 20MB, so extremely large datasets may need to be split.

Deploy and Test

Click the Deploy button in CloudClaw to push your bot live in under 60 seconds. Open Telegram, send a 10-page PDF to your new bot, and ask for a 3-paragraph executive summary to verify its parsing accuracy.

Recommended Model

Claude 3.5 Sonnet

Claude 3.5 Sonnet offers an industry-leading 200,000 token context window, making it perfect for ingesting entire books, academic papers, or financial reports while maintaining high recall accuracy.

Alternatives

GPT-4o — Faster response times and excellent web-search capabilities, but slightly less nuanced at synthesizing highly technical academic documents.

Gemini 1.5 Pro — Offers a massive 1 million token context window for enormous datasets, but can occasionally be slower to generate responses compared to Claude.

Best Practices

Utilize Inline Keyboards for Workflows

Set up Telegram inline buttons for common commands like Summarize, Extract Data, or Find Sources to save time typing repetitive prompts.

Structure Outputs with Telegram Formatting

Instruct your system prompt to use bolding and bullet points to make long research summaries readable on mobile screens.

Implement Context Limits

Clear the conversation history after completing a specific research topic to prevent the AI from confusing data across different projects.

Leverage OpenRouter for Specialized Tasks

Use CloudClaw to switch to specialized models via OpenRouter if your research requires specific niche knowledge, like legal or medical analysis.

Common Mistakes to Avoid

Failing to enable group privacy settings in BotFather

Send the /setprivacy command to BotFather and disable it if you want your bot to read all messages in a research team group chat.

Using models with small context windows for document analysis

Always select models with at least 128,000 context limits when building bots expected to read PDFs or large text dumps.

Not specifying an output format in the prompt

Explicitly tell the bot to return data in a specific structure, such as an executive summary followed by three key takeaways.

Wasting hours configuring webhooks manually

Deploy through CloudClaw to automatically handle secure webhook routing and SSL certificate management.

Frequently Asked Questions

Can my Telegram bot read PDF files and spreadsheets?+

Yes, Telegram supports file uploads up to 20MB for standard bots. By enabling file handling in CloudClaw, your bot can ingest these documents and pass the text directly to your chosen LLM for analysis.

Do I need to pay for a server to keep my Telegram bot online?+

Not if you use a managed deployment platform. CloudClaw handles all the server infrastructure, uptime monitoring, and webhook management so your bot runs 24/7 without any AWS or DigitalOcean bills.

How secure is the research data I send to the bot?+

Data sent through Telegram is encrypted in transit between your device and Telegram servers. CloudClaw securely routes this data to the model provider via API, but you should always review the specific data retention policies of the LLM you select.

Can I add this research bot to my company's Telegram group?+

Absolutely. You can add your bot to any group or channel, and it can summarize ongoing team discussions or provide on-demand research to everyone in the chat.

Which AI model is best for financial research?+

For financial data, models with strong reasoning and large context windows like GPT-4o or Claude 3.5 Sonnet perform best. You can easily test both models by swapping them out in your CloudClaw dashboard with a single click.

Stop wrestling with servers and start researching.

Deploy your custom AI research analyst on Telegram in under 60 seconds with CloudClaw. Choose from over 300 models and let us handle the infrastructure.

Deploy Now — 60 Seconds