Introduction
Satya Nadella, CEO of Microsoft, has predicted that AI agents will become the primary way we interact with computers in the future. They are designed to understand our needs and preferences, and proactively assist with tasks and decision – making. In today’s digital landscape, AI agents are indeed everywhere, operating with a high level of autonomy to break down complex tasks into simpler ones.
What Are AI Agents and Why Do We Need Them?
The concept of AI agents has been around for years. In the generative AI era, the AI agents we commonly discuss are LLM agents. An LLM agent is an AI system that uses a Large Language Model to perform tasks independently. It can not only understand and generate text but also take actions, make decisions, and interact with other tools or databases. These agents can plan, reflect, and collaborate, much like humans when tackling complex problems. All businesses and job roles can greatly benefit from incorporating these digital assistants.
Introducing No – Code AI Agent Platform: Wordware
Wordware is an innovative platform that aims to democratize the development of AI – driven applications through natural language processing. It enables users to build, test, and deploy AI agents quickly, even with minimal or no coding skills. As of 26 Sep 2024, upon signing up, users receive $5 worth of free credits to create, run, and deploy agents on Wordware, which is sufficient to build multiple agents using the latest LLMs such as GPT4o, GPT4o mini, Gemini 1.5 Pro, Mistral 7B, etc.
Let’s Start Building your AI Agent with No Code
Let’s create a resume shortlisting agent that takes inputs like company information, job description, resume, and qualification & disqualification criteria, processes them, and provides the candidate’s application result, rating, and generates a response email.
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Step 1: Start Building
Go to Wordware.ai and click on “Try for free” at the center of the screen. You’ll be directed to log in with your email account. Enter your email details to begin.
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Step 2: Create the Agent
Click on “Create Project” and you’ll be taken to the editor. Then click on “Add Flow” on the left. Add a name (e.g., Resume Shortlisting) and an optional description (e.g., Use this WordApp to analyze the resumes and make an initial screening decision) to your flow.
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Step 3: Add the Inputs
Click on the input bar in the middle of the screen. In the pop – up on the right, click “Click to add a new input”. Add inputs like Company (Text), Job description (Long text), Resume (Image), Qualification Criteria (Long Text), and Disqualification Criteria (Long text).
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Step 4: Prompt the Agent
Add prompts or commands in the editor. For the resume shortlisting agent, a sample prompt could be: “As an expert hiring professional at @Company, your primary task is to evaluate a candidate based on their fit with the @Job Description, using the details provided in @Resume. To assist in making a well – informed decision, consider both @Evaluation Criteria and @Disqualification Criteria”. After adding the prompt, it’s time to configure the large language model.
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Step 5: LLM Configuration
Type “/” to call the LLM. Choose “Structured Generation” for the resume shortlisting agent to get the desired output format. Configure the LLM settings, add a name (e.g., Resume Result), and define the response structure with fields like Application success, Candidate rating, and Response email.
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Step 6: Run the Agent
Click “Run” at the top right of the screen, fill in the required details, and click “Run” again at the bottom right. The agent will start working and generate the output in the specified fields.
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Step 7: Deploy the Agent
Once ready, click on “Share” and then “Deploy”. In the free version, the agent is available in the Public view. You can access it from the “Apps page” and “Deployment Page”.
Conclusion
Building an LLM Agent using no – code is a simple and useful process. With platforms like Wordware, anyone with an idea can create their own AI assistant by finding suitable prompts. The future of no – code AI development holds many exciting possibilities.
Frequently Asked Questions
Q1. What are AI agents?
A. An AI agent is an artificial intelligence system that utilizes a large language model (LLM) as its core computational engine to exhibit capabilities beyond text generation, including conducting conversations, completing tasks, reasoning, and demonstrating some degree of autonomous behavior.
Q2. Can we build AI agents using no code?
A. Yes, we can build agents without the need for any coding using no – code AI agent development platforms.
Q3. Which are some popular No Code – based Agent development platforms?
A. Some popular ones are Wordware, Replit, Vertex AI, Relevance.ai, etc.
Q4. What is Wordware.ai?
A. Wordware is an innovative platform designed to democratize the development of AI – driven applications by leveraging natural language processing. The platform allows users to build, test, and deploy AI agents rapidly, with minimal coding required.
Q5. Why should we use the No – Code AI platform for building AI agents?
A. No Code platforms offer easy – to – use interfaces, drag – and – drop features, and support natural language, simplifying the process for everyone.
Q6. Does Wordware support API’s?
A. For now, some tools enable external file/API access that are available on the Explore page of Wordware.
Q7. Can we process images using Wordware?
A. Yes, Wordware can take images as input and process them for building AI agents.
