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What is Genspark AI? How to use AI agents in 2026

What is Genspark AI? How to use AI agents in 2026

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Highlights
Acts instead of just answering: Breaks down goals into steps and completes tasks automatically, rather than only generating responses. Super Agent architecture: Combines 9 large language models and 80+ integrated tools to handle complex workflows. Creates ready-to-use deliverables: Generates presentations, spreadsheets, research reports, and other business documents. Sparkpage for research: Converts information from multiple sources into a structured, readable page instead of a list of links. Automated real-world actions: Supports AI Call, allowing the agent to make phone calls and handle tasks such as bookings on behalf of users. Built for productivity: Suitable for researchers, analysts, project managers, marketers, and professionals who need to automate repetitive knowledge work. Human review still required: AI-generated outputs, especially automated actions and research summaries, should always be checked before being used in important decisions.

The year 2025 marked a shift from chatbots that answer questions to AI Agents that can perform tasks autonomously. Gartner predicts that by 2028, 33% of enterprise software will incorporate AI Agents, up from less than 1% in 2024. So, what is Genspark AI in the middle of this trend? This article explains what Genspark AI is, what it can do, and how to use it to delegate tasks. You can also browse Aniday’s AI tools library to compare alternatives.

What is Genspark AI?

Genspark AI is an AI agent platform that performs multi-step tasks autonomously instead of simply answering questions. The product was founded in Palo Alto by Eric Jing and Kay Zhu, two former Baidu employees, and fully transitioned to its Super Agent model in April 2025. It can create presentations, spreadsheets, research reports, and even make automated phone calls, placing it within Aniday’s AI virtual assistant category.

What sets Genspark apart from a traditional search engine or chatbot is its ability to take action. Instead of generating a response, it plans workflows, calls tools, and delivers a completed output. As of early 2026, Genspark has surpassed 2 million monthly active users.

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How is an AI agent different from a chatbot?

A chatbot answers questions, while an AI Agent executes tasks.

Chatbots stop at providing information. Agents receive a goal, break it down into steps, use tools, and complete the entire workflow. Genspark follows the second approach, using a multi-model architecture powered by 9 large language modelsand more than 80 integrated tools.

The key difference is that an Agent produces a usable result, not just an answer.

What can Genspark AI do?

Genspark AI can generate presentations, spreadsheets, research reports, content, and automate workflows through its Super Agent system.

For example, you can ask it to create a presentation about a market sector, and it will gather data, draft content, and generate a presentation automatically. This makes Genspark part of the growing category of AI productivity tools for office work.

How does Genspark’s Super Agent work?

Super Agent is Genspark’s core feature and operates as a coordinated system of multiple agents working together.

It selects the most suitable model for each step from its pool of 9 large language models, then uses more than 80 integrated tools to gather information, process data, and create deliverables.

This approach allows Genspark to handle complex workflows, from research to document creation, within a single process.

What is Sparkpage?

Sparkpage is a dynamic page generated by Genspark to answer a query by consolidating information from multiple sources into a single readable page.

Instead of returning a list of links, it provides a structured content page focused on the topic you searched for. The feature functions like a rapid research report, making it particularly useful for users involved in AI-powered analysis and research.

Sparkpage transforms information retrieval into a finished product rather than a collection of search results.

How to use Genspark AI for task automation?

The core workflow consists of four steps: defining a goal, allowing the agent to plan, monitoring progress, and reviewing the final output.

This process works for most tasks, from creating presentations to conducting market research.

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Step 1: Clearly define the goal

Describe the result you want along with relevant context.

For example, request a six-slide presentation about hiring trends. The more specific you are about format and scope, the less likely the agent is to go off track.

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Step 2: Let the agent plan and execute

Genspark breaks the objective into smaller steps and automatically calls the necessary tools.

You do not need to provide instructions for every action. Simply allow it to complete the workflow.

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Step 3: Monitor and intervene when necessary

Observe the actions the agent takes.

If it misunderstands part of the task, stop and clarify the requirement instead of waiting until the process is complete.

Step 4: Review the final output

Carefully verify the results, especially numerical data and citations.

AI Agents can still produce incorrect information with high confidence, so human review remains essential before using the output in real-world situations.

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Can Genspark AI make phone calls and bookings automatically?

Yes. Genspark includes an AI Call feature that can make automated phone calls, such as booking reservations on behalf of users.

This is one of the platform’s most ambitious capabilities and also where its limitations become most visible. Automated calling tasks are not yet perfectly reliable, so for important matters, you should treat the results as a draft that requires verification.

Note: This feature demonstrates one of the clearest differences between a chatbot and an action-oriented AI Agent.

Is Genspark AI free?

Genspark AI offers a free trial with usage limits, as well as paid plans for higher-volume users.

Team plans start at approximately $30 per user per month, reflecting its positioning as a professional productivity tool rather than a casual AI application.

Its growth has also been notable. According to data compiled by Sacra, Genspark reached approximately $100 million in annual recurring revenue (ARR) by early 2026.

You should check the latest pricing on the official website before subscribing.

How is Genspark different from Manus and ChatGPT?

Genspark, Manus, and ChatGPT serve different purposes.

ChatGPT from OpenAI is strongest in conversation and writing assistance, while Genspark and Manus focus on autonomous multi-step task execution through AI Agents.

Compared to Manus, Genspark places greater emphasis on producing complete workplace deliverables such as presentations and reports, making it suitable for professionals involved in planning and project management.

According to Gartner, more than 40% of AI Agent projects will be canceled before the end of 2027, partly because expectations exceed real-world capabilities. Choose tools based on specific use cases rather than marketing claims.

Learning how to delegate tasks to an AI Agent and evaluate its output is becoming a valuable professional skill. You can explore career development resources to turn that skill into a workplace advantage.

Key features of Genspark AI

The biggest strength of Genspark AI is that it takes action rather than simply responding, combining multiple models and tools to deliver finished outputs.

These are the features that separate Genspark from a traditional chatbot.

  • Multi-agent architecture: Super Agent selects the most suitable model from 9 large language models and uses more than 80 integrated tools for each task.
  • Delivers usable outputs: Creates presentations, spreadsheets, and research reports directly instead of stopping at text responses.
  • Sparkpage for research: Consolidates information from multiple sources into a structured content page instead of a list of links.
  • Real-world task automation: AI Call can perform automated phone calls such as making reservations on behalf of users.
  • Proven scale: Reached more than 2 million monthly active users by early 2026 and secured a Series B valuation of approximately $1.25 billion.

The key point to remember is that automated tasks, especially phone calls, are not perfectly reliable, so results should always be reviewed before being used in important situations.

Conclusion

Genspark AI is an AI Agent platform that creates presentations, spreadsheets, research reports, and automated phone calls. Unlike a chatbot, it takes action rather than simply providing answers. Its real value comes from assigning the right type of task and consistently reviewing the final output. Used correctly, it can reduce hours of document preparation to just minutes.

Want to turn AI Agent skills into a professional advantage? Choose a suitable assistant, assign it a document creation task, review the results carefully, and explore open positions where these skills can create real career opportunities.