Designing AI Agent Concepts

Exploring the future of agentic AI — one intelligent, intuitive assistant at a time. This space is where I document my experiments, MVPs, and concepts for next-gen AI agents designed to think, act, and adapt like true collaborators.

AGENT Concept1

Hey Mind

it’s your proactive, intelligent, always-available thinking partner. Capture, process, and recall your best thoughts — all by simply speaking.

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Check Prototype

Concept for - AI Agents CLM Repository.

Amit Jain, a procurement head at a global telecom firm, logs into the CLM platform to prep for an upcoming quarterly business review.

As he lands on the contract listing page, he activates the AI embedded near TCV column.

The Design Details for Embedded AI Agents within Traditional UI.

Agents are embedded in your workflows to gain user context and help achieve user intended goal efficiently. This makes AI assistance discoverable everywhere, and ensures each interaction feels natural and on‑point.

Chain together a combination of insights for achieving pin pointed context.

Embedded in UI for contextual AI initiation.This create a cohesive experience. Agents are available wherever users needs it to help them in decision making. Largely enhancing overall experience with App.

The suggestions are tailored from where user initiates it.
AI Agents are aware of user context so suggestion feels personalised.

Documentation on UX Patterns for Human–AI Collaboration.

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AI Studio: Enhancing AI Performance

Design for large Data - Human Efficiency - AI and Human