GNANI.AI 2025

GNANI.AI 2025

Increasing AI Agent creation speed by 32% by building a native experimentation sandbox.

Increasing AI Agent creation speed by 32% by building a native experimentation sandbox.

My Role

My Role

Product Strategy

User Research

User Experience

Usability Testing

Product Strategy, User Research. User Experience, Usability Testing

Team Members

Team Members

Gautam Maurya, PM

Harshita Yadav, UX Designer

5 Devs

Gautam Maurya, PM

Harshita Yadav, UX Designer

5 Devs

Timeline & Status

Timeline & Status

2 months

2 months

Context

Where it all started…..

I led the design for the Prompt Playground at Inya.ai, a platform that empowers businesses to build and deploy AI voice agents.
Think of Inya as a factory line for digital employees: you assemble them, give them a voice, and teach them how to handle customer calls.

The Brain - System Prompt

The most critical part of the Agent is its brain, the System Prompt. This is the set of instructions that tells the AI how to behave, what to say, and when to stop talking.

THE CHALLENGE

But here was the catch...

Builders were stuck in a "Context-Switching Loop," jumping between external tools like VS Code and ChatGPT just to iterate on a single prompt.

01 Risk

01 Risk

No way to test "edge cases" before deployment led to broken customer flows.

02 Friction

02 Friction

Constant context switching disrupted the "flow state" needed for complex prompt engineering.

03 Result

03 Result

High churn during the "Build" phase.

THE SOLUTION

A Native Development Environment (IDE). We moved the workflow inside the product and introduced a hybrid "Playground" that combines the structure of a code editor with the flexibility of a chat interface.

Nothing comes up without the Constrains

I knew we needed a native solution, but "just building a text box" wasn't going to cut it. I had to navigate some serious technical constraints that defined the boundaries of my design

01 Not all models are equal

Advanced reasoning required higher-tier models, so I had to design a UI that clearly indicated why a model gave a certain answer (Chain-of-Thought visibility)

02 The backend was messy

AI isn't perfect. We faced Error Handling Issues where backend inconsistencies required the UI to manage failures at a conversational level, not just a system level.

03 The cost

03 The cost

LLMs charge by the token. Unchecked testing would burn our budget, so we needed strict limits on conversation length.

pANEL STATES

I designed responsive panels that scale with user needs, ensuring space for complex prompt data while staying adaptable for future features like versioning, comparison, and evaluation.

Entry point to playgorund

Entry point to playgorund

The three panels

the three panels

The three panels

Divided the page into three panels - include chat window , output panel and properties panel

Divided the page into three panels - include chat window , output panel and properties panel

Top Navigation

Top Navigation

Divided the page into three panels - include chat window , output panel and properties panel

Divided the page into three panels - include chat window , output panel and properties panel

Chat Window

Chat Window

Chat input enables natural-language edits without navigating structured prompt blocks , reducing edit friction for non-technical users.

Chat input enables natural-language edits without navigating structured prompt blocks , reducing edit friction for non-technical users.

output panel ( system prompt )

output panel ( system prompt )

The Output Panel enables users to view, edit, and evaluate prompts whether newly generated or existing ones.

The Output Panel enables users to view, edit, and evaluate prompts whether newly generated or existing ones.

THE IMPACT

40%

40%

Faster Iteration Cycle

Faster Iteration Cycle

Average time to draft and validate a production-ready prompt dropped from 20 mins → 12 mins.

Average time to draft and validate a production-ready prompt dropped from 20 mins → 12 mins.

73%

73%

Developer Migration

Developer Migration

37 out of 52 internal developers shifted their primary workflow to Prompt Playground.

37 out of 52 internal developers shifted their primary workflow to Prompt Playground.

15%

15%

Prompts Created by Non-Tech (Sales)

Prompts Created by Non-Tech (Sales)

Chat-to-Prompt helped Sales create custom demos without relying on Engineering.

Chat-to-Prompt helped Sales create custom demos without relying on Engineering.

What's Next (Regression Gap)

What's Next (Regression Gap)

While creation is solved, we identified that model-level assurance is still a bottleneck. Users currently duplicate agents to test across models. We are prioritising Automated Regression Testing to solve this last mile of manual work.

While creation is solved, we identified that model-level assurance is still a bottleneck. Users currently duplicate agents to test across models. We are prioritising Automated Regression Testing to solve this last mile of manual work.

GO BEHIND THE PIXEL

Designing for AI isn't a straight line. While this summary shows the final UI, the deep dive reveals the edge cases, the model limitations, and the architectural trade-offs behind every decision.

Designing for AI isn't a straight line. While this summary shows the final UI, the deep dive reveals the edge cases, the model limitations, and the architectural trade-offs behind every decision.

Next Projects

GNANI.AI

GNANI.AI

VOICE AGENT DASHBOARD

VOICE AGENT DASHBOARD

2025

2025

Designing a Smarter Way to Monitor Conversational AI Performance

Designing a Smarter Way to Monitor Conversational AI Performance

TOOLIQA

TWINN CREATE STUDIO

2024

End-to-end redesign of rendering feature, with the objective of reducing time consumption and enhancing intuitive controls.

Get in touch !

@2026 Harshita Yadav. All right reserved.

Made with Patience

Get in touch !

@2026 Harshita Yadav. All right reserved.

Made with Patience

Get in touch !

@2026 Harshita Yadav. All right reserved.

Made with Patience

Get in touch !

@2026 Harshita Yadav. All right reserved.

Made with Patience

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