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Botsify Launches Natural Language Interface to Build Portable AI Agents

  • August 4, 2025
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Botsify has launched a new AI-powered development interface that enables users to create portable AI agents using natural language. The feature introduces a conversational “build agent,” designed to allow users to describe their requirements in plain English instead of working through the traditional multi-screen flow-based chatbot builders. The process reduces friction for both technical and non-technical users, shifting the development experience from configuration-based to conversation-led.

The conversational builder operates through prompts such as “Build me a FAQ agent that takes information from my website and attached PDF document,” or “Create an agent that pulls leave data from my HRMS using an employee’s phone number.” Botsify’s proprietary large language model (LLM) then interprets the prompt to automatically design the logic, interface, integration layers, and branding elements, creating a functional AI agent within a single interface. Users no longer need to manage separate steps for logic-building, API linking, or visual design—everything is handled collaboratively with the build agent.

According to Usama Noman, founder of Botsify, this update signifies a shift from manual chatbot development toward intelligent co-creation. He explained that the AI now becomes the builder, fundamentally altering how users approach creating conversational tools and agents.

The platform’s scope has expanded with the introduction of the Model Context Protocol (MCP), a new integration framework that replaces conventional native or custom API connectors. MCP allows agents to connect with more than 5,000 prebuilt services. Developers and businesses can also define their own integration points, enabling AI agents to access internal tools or proprietary systems without requiring specialized engineering work.

Botsify has also simplified the process of using external data sources. Users can build agents that understand and respond based on static files like PDFs or live websites. This means businesses can develop onboarding assistants, customer support bots, or internal knowledge agents that are aware of manuals, guidelines, or policy documents without additional training or setting up retrieval-augmented generation (RAG) systems.

The platform’s evolution from a chatbot tool for customer service and marketing to a full-fledged agentic automation system opens up new use cases across industries. AI agents can now be designed for HR assistance, sales automation, internal operations, and knowledge management—all accessible through a conversational-first development flow. These agents come with memory, real-time integration capabilities, and the ability to operate across multiple contexts, allowing them to function more like digital coworkers than static tools.

Usama Noman emphasized that the broader vision behind this update is to move beyond the concept of no-code software toward systems that are fully controlled through natural language. With this release, Botsify aims to provide businesses with tools that not only automate workflows but do so with intelligence and adaptability.

The new agentic builder is now live and accessible to all Botsify users. Additional details are available on the company’s official site at https://botsify.com/agent.

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Related Topics
  • agentic automation
  • AI agents
  • Botsify
  • chatbot
  • conversational AI
  • customer support
  • HR automation
  • MCP
  • natural language
  • startup
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