AI Agents

AI agents are more autonomous and proactive compared to AI assistants

Autonomous

Execute tasks within environment

Proactive

Understand goals, set their own tasks

Independant Collaborators

Interact with other agents

AI agents are typically used for complex tasks that require independent decision-making and adaptability. Examples include: Self-driving cars navigating traffic autonomously. Robots in factories making decisions based on real-time sensor data. AI-powered trading algorithms in finance making investment decisions.

AI Agent Capabilities

Proactive, Autonomous, Independent and Collaborative

AI agents leverage advanced AI techniques like reinforcement learning and planning algorithms to operate in unpredictable environments. They can learn from their experiences, adapt to changing situations, and make decisions without explicit instructions.

Method of Delivery - Custom

Domain Specifity & Environment Dependency

AI agents are designed to function within specific environments and handle particular tasks. This necessitates tailoring their capabilities and decision-making processes to the unique domain they operate in.

Example

An agent collect content and prompt and automatically update website.

Our AI Agent collect content from individual drive, given google drive, github etc. It can take prompt instructions. Combine user content, generate content based on prompts and combine these to present as user friendly web sites.

Similarities - AI Assistants and Agents

Build AI Assistants and extend to AI Agents

  • Both utilize AI technologies like machine learning and NLP to interact with the world.
  • Both aim to improve efficiency, productivity, and user experience.
  • Both are continuously evolving and becoming more sophisticated.

    • Difference - AI Assistants and Agents

    Domain Specifity & Environment Dependency

  • AI agents are more autonomous, while AI assistants are reactive.
  • AI agents can learn and adapt in dynamic environments, while AI assistants follow instructions.
  • AI agents handle complex tasks requiring independent decision-making, while AI assistants focus user-directed tasks.

    • Benefits and Impact

    For Business Analyst

    Raw Signal Intelligence

    AI Twin goes beyond simply collecting data. It ingests raw signals from across your factory floor, from sensors on machines to environmental indicators.

    For Data Scientists

    Experimentation Playground

    Want to test new production tweaks without risking real-world disruptions? AI Twin's virtual environment lets you experiment safely and see the potential impact before making changes.

    Well governed data

    Data Lineage and Extensibility

    To build a commercial data product, create a base data product. Then add extension to these data product by adding various types of transformation. However it lead to complexity as you have to manage Data Lineage. Use knobs for lineage and extensibility

    CIO and CDO

    Higher-Level Data Products:

    Forget data overload! AI Twin transforms raw data into actionable insights in the form of easily digestible data products,

    Knowledge worker

    For Machine and Human

    AI Twin's data products are designed for both humans and machines. Business users gain clear, actionable insights, while automated processes can leverage the data for real-time optimization. With AI Twin, you can:

    Business and Finance

    Extend equipment life

    Implement predictive maintenance to avoid costly breakdowns and keep your machines running smoothly

    Spotlight

    Pre Built Capabilities

    AI and Data Products
  • Capability deployed in production
  • Pre Built Agents with configurability
  • Ability to integrate withcustomer knowledgebase
  • Capability to get user feedback
  • Conversation History and Logging
  • Login functionality
  • User Maangement
  • Prompt Templates

    • Fractional CTO for Bots

    Hire expertise without commitment

    Startup and enterprise who wish to build their own AI Asssitant can hire expertise to build

  • Conversation Agent Experise
  • LLM - OpenAI, Gemini
  • Vector DB and RAG
  • FienTuning LLM
  • Cloud - AWS, GCP,Azure

    • Customization Team

    Services to adapt solution for customer data

    Choose a partner with deep experience in delivering LLm based chatbot, Agents and Assistant

    Hire experts who have built kreatebots Stock, Finance AI assitant, real estate AI Agent, chatbot for travel