Real-Life Scenario Testing: Perplexity.ai Comet AI Browser

Real-Life Scenario Testing: Perplexity.ai Comet AI Browser

Perplexity.ai’s Comet AI browser is redefining what it means to work with intelligent browsing and automation. In this post, I share my hands-on experience putting Comet through a battery of real-life scenario tests—from intelligent search to coding assistance to web automation. Here’s an in-depth breakdown.

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Introduction and Purpose

The journey starts with a quick overview of why Comet AI browser is different and what the goal of these scenario tests is.

Experience with A.I. Models and Perplexity

With years of experience in AI and tech, I provide context for why Perplexity’s approach stands out, and the types of problems it aims to solve.

First Impressions: Features of Comet Browser

Exploring the sleek, innovative browser interface, I list standout features and compare them to conventional browsers.

YouTube Search Scenario

Putting Comet to the test, I check its skill in finding and summarizing YouTube content—turning a generic search into targeted knowledge retrieval.

Oracle Migration Script Scenario

Comet helps build and validate a complex Oracle migration script, showing off its development chops for enterprise challenges.

Chess.com Automation Test

Watch as Comet automates a game scenario on Chess.com, showcasing fluid web automation and smart task sequencing.

SQL Coding with livesql.oracle.com

From automating solutions to offering on-the-fly code fixes, I demonstrate how Comet can support both beginners and experts with SQL tasks.

Draw.io Architecture Diagram Challenge

I test Comet’s interactive capabilities by asking it to visually design a complicated architecture diagram in draw.io from just a text prompt.

Draw.io: Challenges & Repeated Attempts

Detailed look at the trial-and-error process, where each attempt brings new insights and approaches to solving diagram tasks.

Third Attempt and Discussion

A candid discussion on iterative improvement and learning curves using advanced AI-assisted workflows.

Feedback and Lessons Learned

I summarize the practical insights gained from using Comet, including tips for new users and what to watch for.

Conclusion & Takeaways

Rounding off the tests, I share my verdict: Comet is a powerful assistant for anyone looking to automate, learn, and boost productivity with AI-powered browsing.

Whether you are a tech enthusiast, developer, or just AI-curious, Perplexity.ai’s Comet browser deserves a spot in your digital toolkit. Try it for yourself and share your experiences below!

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Try comet - perplexity's comet AI browser

What it is?

1. AI browser

2. Integerated with Perplexity AI engine

3. Agentic AI capable

4. Can control and perform tasks on bahalf of you in the browser window - browser assistant

5. Voice mode control is possible as well

Scenarios we are going to test:

1. Look for a specific video and action in youtube

Prompt: Search a video in youtube which show cases postgresql reaching 100k transactions per minute, navigate the video to the precise timeline.

Job: Completed

Prompt: Search a video in youtube which shows XTTS incremental v4 migration script failing because of TDE, navigate the video to the precise timeline.

Job: Completed -- Aced it

2. Play the game of chess aginst bot

prompt: Take over the chess game from me and try to win the game in less than 5 moves

Job: Failed after 3 moves, gave up.

3. Test SQL capability:

Prompt: Connect to livesql.oracle.com, try running a simple analytical query involving connect by clause

Job: Duece

4. Create the below architectural diagram using draw.io for BMC's control M stack

Prompt: Develop an interactive architectural diagram in draw.io for BMC's control M stack involving oracle as rdbms stack with dataguard for high availability. 

                Ensure the architecture diagram shows few client machines and end user interactions. The end users are sitting within W365 infrastructure. The actual control M servers and client machines are in azure cloud.

The HA setup for oracle should reside in 2 different azure regions.

The Control M and Enterprise manager stacks should sit in 2 different azure regions.

Use draw.io to draw an architectural diagram for BMC's control M stack involving oracle as rdbms stack with dataguard for high availability. 

                Ensure the architecture diagram shows few client machines and end user interactions. The end users are sitting within W365 infrastructure. The actual control M servers and client machines are in azure cloud.

The HA setup for oracle should reside in 2 different azure regions.

The Control M and Enterprise manager stacks should sit in 2 different azure regions.

Job: Failed, 3rd attempt was brave.