AskMe is a SaaS platform that lets you create AI agents that respond to customers on Slack, Teams, Google Chat, Discord, Telegram, GitHub, Linear, and WhatsApp — from a visual dashboard, live in minutes.

How much does it cost?

We offer two plans — Starter and Pro — both 50% off during the beta. Your beta price is locked in for life, even after launch. For larger organizations, our Enterprise plan includes dedicated support and SLA.

Do I need technical skills?

AskMe is built for business teams. If you can write an email, you can build an AI agent. Our visual editor guides you through every step.

How is my data handled?

All data is encrypted at rest and in transit. We never use your customer data to train our models. You own your data and can export it at any time.

When does the beta start?

The beta is live now. Sign up to get instant access and start building your first AI agent today.

What is the difference between an AI agent and a chatbot?

Traditional chatbots follow rigid, pre-scripted rules and can only handle questions they were explicitly programmed for. AskMe builds true AI agents — autonomous assistants powered by large language models that understand context, reason through problems, and deliver natural, human-like conversations without requiring you to map out every possible scenario.

What exactly is an AI agent, and why would I need more than one?

An AI agent is an autonomous assistant trained on your data that holds natural conversations on your messaging channels. You might want multiple agents for different purposes — customer support on WhatsApp, IT help on Slack, sales qualification on Telegram. Each has its own personality, knowledge base, and channels.

What happens when I reach my message limit?

Your agents pause until the next billing cycle. You'll receive a notification before hitting the limit so you can upgrade if needed. Built-in spam detection protects your quota from abuse.

What if someone spams my AI agent?

AskMe includes built-in rate limiting and spam detection on every channel. Automated abuse is blocked before it reaches your agent, protecting your message quota.

How do I train my AI agent with my own data?

Simply upload your content — documents, FAQs, website URLs, or PDFs — through our visual editor. The agent uses Retrieval-Augmented Generation (RAG) to ground every response in your verified data, so it answers based on your actual content rather than making things up. You can update the knowledge base at any time and changes take effect immediately.

What happens when the AI agent can't answer a question?

When your AI agent encounters a question it can't confidently answer, it doesn't guess or hallucinate. Instead, it gracefully acknowledges its limitation and can be configured to escalate — for example, by collecting contact details for follow-up, redirecting to a resource, or handing off to a human team member on the same channel.

Can I customize the AI agent's personality and tone of voice?

Yes. AskMe lets you fully define your agent's personality, tone, and communication style through the visual editor. Set it to be formal or casual, warm or efficient, technical or plain-spoken — whatever matches your brand voice. You can also define guidelines for how the agent introduces itself and what boundaries it should respect.

Which messaging platforms does AskMe support?

AskMe supports 8 messaging platforms out of the box: WhatsApp, Slack, Discord, Telegram, Microsoft Teams, Google Chat, GitHub, and Linear. Build your AI agent once, then deploy it across any combination of these channels from a single dashboard.

Can I deploy one AI agent on multiple channels at the same time?

Absolutely. AskMe follows a build-once, deploy-everywhere approach. Create a single AI agent with one knowledge base and one set of behavior rules, then activate it on as many channels as you need — all simultaneously. Updates to the agent's knowledge or behavior are reflected instantly across every connected channel.

How long does it take to set up an AI agent?

Most users have their first AI agent live and responding to messages within minutes. Our visual editor guides you through each step: name your agent, upload your knowledge base, choose your channels, and deploy. The visual editor handles the rest.

Is AskMe GDPR compliant?

Yes. All data is encrypted at rest and in transit. We never use your data or your customers' conversations to train AI models. You retain full ownership and can request deletion at any time. Our infrastructure is designed to meet the requirements of the GDPR and the EU AI Act.

What use cases can I build with AskMe?

Common use cases include customer support automation, internal team assistants (HR, IT help desk), community management on Discord or Telegram, sales and lead qualification on WhatsApp, developer tooling with GitHub issue triage, and project management support via Linear. You can build any conversational agent that benefits from your custom knowledge base.

Does AskMe support multiple languages?

Yes. AskMe's AI agents can understand and respond in over 100 languages — including English, Italian, Spanish, French, German, Portuguese, Arabic, Chinese, Japanese, and many more. The agent automatically detects the language of incoming messages and responds in the same language, with no additional configuration required.

No-Code AI Agent Builder: Create Intelligent Bots Without Coding

Building an AI agent used to require a team of machine learning engineers, months of development, and a significant budget. In 2026, a no-code AI agent builder lets anyone, from solo entrepreneurs to enterprise teams, create sophisticated AI agents without writing a single line of code. The barrier to entry has dropped from tens of thousands of dollars to a simple signup and a few minutes of configuration.

What Is a No-Code AI Agent Builder?

A no-code AI agent builder is a platform that provides visual interfaces and pre-built components for creating AI-powered conversational agents. Instead of coding natural language processing pipelines, training machine learning models, and building API integrations from scratch, you use drag-and-drop interfaces, upload documents, and configure behavior through intuitive settings.

AskMe Studio is a leading example of this approach. It combines the power of modern large language models with a visual builder that makes creating, training, and deploying AI agents accessible to non-technical users.

Why No-Code Matters for AI Agents

The shift to no-code AI agent builders is not just about convenience. It represents a fundamental change in who can leverage AI technology:

Speed to market — Deploy an AI agent in minutes instead of months. Test ideas, iterate quickly, and respond to customer needs in real time
Cost efficiency — Eliminate the need for specialized AI engineering teams. A marketing manager or customer success lead can build and manage agents directly
Democratized access — Small businesses and startups get access to the same AI capabilities that were previously reserved for well-funded enterprises
Reduced maintenance — No-code platforms handle infrastructure, updates, and scaling, so you focus on content and strategy rather than code maintenance

Key Features to Look for in a No-Code AI Agent Builder

Not all no-code platforms are created equal. Here are the essential features that separate great tools from mediocre ones:

Multi-Platform Deployment

Your customers are spread across different messaging platforms. The best no-code builders let you deploy a single AI agent to multiple channels simultaneously. AskMe Studio supports eight platforms out of the box: WhatsApp, Slack, Discord, Microsoft Teams, Google Chat, Telegram, GitHub, and Linear.

Knowledge Base Training

An AI agent is only as good as the information it can access. Look for builders that let you upload documents, connect to existing knowledge bases, and train your agent on your specific domain knowledge. This ensures accurate, relevant responses rather than generic AI-generated content.

Customizable Behavior

Every business has different needs. Your no-code builder should allow you to define the agent's tone of voice, set boundaries for what it can and cannot discuss, configure escalation rules, and customize response formats.

Analytics and Monitoring

You need visibility into how your AI agent performs. Essential metrics include response accuracy, resolution rates, user satisfaction, and conversation volume. Good platforms provide dashboards that surface these insights without requiring data engineering.

Integration Capabilities

Your AI agent should connect with your existing tools and workflows. Whether that means pulling data from your CRM, creating tickets in your project management tool, or syncing with your help desk, integrations are critical for a seamless experience.

How to Build an AI Agent Without Code: Step by Step

Here is a practical walkthrough of creating an AI agent using a no-code builder:

Sign up and create a project — Start by creating an account on your chosen platform. Define your project and give your agent a name and purpose
Upload your knowledge base — Feed your agent with the information it needs: product documentation, FAQs, policies, tutorials, or any other relevant content
Configure agent behavior — Set the tone (professional, friendly, technical), define response guidelines, and establish escalation rules for complex queries
Connect your channels — Link the messaging platforms where you want your agent to operate. Most no-code builders provide guided setup flows for each platform
Test thoroughly — Use the built-in testing tools to simulate real conversations. Try edge cases, unexpected questions, and multi-turn dialogues
Deploy and monitor — Go live and keep an eye on performance metrics. Refine your knowledge base and settings based on real user interactions

Common Use Cases for No-Code AI Agents

No-code AI agents are versatile enough to handle a wide range of business scenarios:

Customer support automation — Answer common questions, troubleshoot issues, and route complex cases to human agents
Lead qualification — Engage website visitors and messaging contacts, qualify leads based on predefined criteria, and route hot leads to sales
Employee onboarding — Guide new hires through company policies, answer questions about benefits and procedures, and provide training resources
Community management — Moderate discussions, answer member questions, and provide instant access to community resources
Technical support — Help users troubleshoot technical issues, provide step-by-step guidance, and escalate when needed

Businesses using no-code AI agent builders report an average 70% reduction in time-to-deployment compared to custom-built solutions, with comparable or better performance for standard use cases.

Limitations and When to Go Custom

No-code builders are powerful, but they are not the right fit for every scenario. Consider a custom-built solution when:

You need deep integration with proprietary systems that no-code platforms do not support
Your use case requires highly specialized machine learning models trained on unique data
Regulatory requirements demand on-premises deployment with full infrastructure control
Your scale exceeds what managed platforms can handle cost-effectively

For the vast majority of businesses, however, a no-code platform like AskMe Studio provides more than enough capability while dramatically reducing time, cost, and complexity.

The Bottom Line

No-code AI agent builders have transformed AI from an enterprise-only technology into something any business can leverage. The combination of powerful language models, intuitive interfaces, and multi-platform deployment means you can have a sophisticated AI agent serving your customers across WhatsApp, Slack, Discord, and more in the time it takes to set up a social media profile.

The question is no longer whether your business should use AI agents, but how quickly you can get started. With platforms like AskMe Studio, the answer is today.