I selected ‘For fun’ in ‘Free’ tools and found the following to be interesting:

1. AI Named my Pet - Since I love pets and dogs, I selected this to get names and I find this tool to be versatile; I can also select the preferred origin of name (like spanish or scandenavian). However, It could be more specific in terms of gender, region, etc.
2. GPTRiddle - I started with this, but then couldn’t figure out what to do next. It was the biggest riddle :D
3. Where to - this was not helpful at all, it asked me to subscribe, even though I had selected free tools in the initial selection.

Interesting observations. So 2/3 were not helpful at all.

Would you like to cover some other tools?

Hint: Explore for tools that can help you with some aspect of your day-to-day work?

1.  Pollinations.ai – A creative AI for generating images, videos, and music from prompts.I It can help in adding more text specific pictures, videos and also music  which can be used in ppts and documents to me as a student.
2. Nous Hermes 3 – A powerful AI model for reasoning, automation, and high-quality text generation. It can be useful as it will me in improvising my reports and texts.
3.  Riffusion  Fuzz– An AI tool that creates music and sound effects from text descriptions. The most difficult task in presentation is that we can’t find suitable music for background, it can help. It can help with creating study materials more engaging and interesting. 

Oh yes, I have been trying out other tools as well. For the fun stuff, I do recommend “textbehindimage.site” as it allows me to add personalised text to my images and I am now creating a lot of funny memes :D; but yes, I am trying out a lot of these tools and they can quickly get addictive.

Oh also, I installed from “https://www.wizardshot.com/” and now I create minor help documents to help developers identify issues in workflow when I file defects. My dev is already saying that this is helping them greatly to recreate issues just by looking at the screenshots captured in the document in sequence of functionality.

I also am using https://excalidraw.com/ to create quick, simple flow diagrams when I have to show other team mates how a functionality works.

Elaborating further with visuals~

Pollinations.ai

Pollinations.ai is a creative AI tool that generates images, videos, and music based on prompts. It can be extremely useful for students, as it allows for the creation of custom visuals and background elements tailored to specific topics. This is especially helpful when designing presentations, reports, or documents, making them more engaging and visually appealing.

Nous Hermes 3

Nous Hermes 3 is a powerful AI model designed for high-quality text generation, reasoning, and automation. It can be particularly beneficial for students in improving reports, refining written content, and enhancing clarity. Whether it's structuring an assignment or making an argument more persuasive, this AI helps in polishing and elevating written work effectively.

Riffusion Fuzz

One of the biggest challenges in presentations is finding the right background music or sound effects to match the content. Riffusion Fuzz solves this problem by generating music and sound effects from text descriptions. This can be an excellent tool for creating immersive and engaging study materials, making learning more interactive and impactful.

Post: https://www.linkedin.com/feed/update/urn:li:activity:7303451738852708354/

test case generation
A notable Generative AI tool for **test case generation** is KaneAI by LambdaTest.  
This tool leverages natural language processing to help testers generate, automate, and manage test cases effortlessly using conversational inputs.  

Key Features and Capabilities of KaneAI

• Effortless Test Creation: 

  Enables testers to create and refine tests using natural language, simplifying the test development process.  

• Intelligent Test Planning:

  Generates and automates test steps based on high-level objectives, ensuring alignment with project goals.  

• Code Export in Multiple Languages: 

  Converts automated test cases into different programming languages, supporting test automation frameworks like Selenium and Playwright.  

• Bi-directional Test Editing: 

  Allows tests to be modified in either natural language or code, with changes automatically synchronized.  

• Smart "Show-me" Mode:  

  Transforms user actions into natural language commands for easier test creation and automation.  

Example Use Case  
Imagine a company developing an e-commerce application that wants to ensure a smooth checkout process.  
With KaneAI, a tester can simply describe the test scenario in plain English, such as:  
*"Verify that a user can add an item to the cart, proceed to checkout, enter payment details, and complete the purchase successfully."*  

KaneAI then automatically generates the corresponding test script, which can be exported into different programming languages and integrated into the company's test automation framework. This significantly accelerates the testing process and reduces manual errors.  

test data generation

A notable Generative AI tool for test data generation is MOSTLY AI. This tool uses AI to create synthetic test data that closely resembles real production data but contains no sensitive information.

Key Features and Capabilities:

• Synthetic Test Data Generation:  

  MOSTLY AI generates realistic test data that retains the statistical properties of original data without using actual personal data.

• Compliance with Data Privacy Regulations  

  Since synthetic data does not contain real personal information, companies can comply with regulations like GDPR while testing their applications.

• Support for Complex Data Structures  

  The tool can create complex, relational data structures with referential integrity, making it suitable for comprehensive testing.

Example Use Case:
A financial institution needs to test a new application that processes customer transaction data. Due to **privacy concerns**, real customer data cannot be used in the testing environment. 

By using MOSTLY AI, the institution can generate synthetic test data that accurately reflects real-world behavior. This allows testers to evaluate the application under realistic conditions without violating privacy regulations.

Why use MOSTLY AI?
It enhances software testing quality while ensuring customer privacy—a powerful solution for enterprises handling sensitive data. 

test documentation generation
A notable Generative AI tool for test documentation generation is aqua cloud. This tool leverages AI to optimize the software testing process and offers the following key features and capabilities:

Key Features & Capabilities

• AI-powered requirement generation:

Allows users to generate complete sets of requirements using natural language commands, significantly speeding up the process.  

• Rapid test case creation:

Based on defined requirements, the tool can generate comprehensive test cases within seconds, saving up to 97% of the time compared to manual test case creation.  

AI-driven test data generation

Produces relevant test data to ensure full test coverage in a fraction of the time it would take manually.  

Example Use Case
A company launching a new e-commerce platform needs to ensure its software is fully functional and bug-free.  
With aqua cloud, the testing team can define requirements via voice input, automatically generate test cases, and produce test data in seconds.  
This automation saves time, optimizes resource usage, and ensures high software quality.  

Hi ​@Frank Kokoska Could you please let me know which filter you apply for getting KANE AI.I am unable to identify it

Hello Bharat,

The company firewall is blocking futuretools.io, and I don't have a personal computer. I was using ChatGPT Plus.

Best regards,
Frank

1. Network AI (WonsultingAI)

Key Features:

•     Resume optimization for Applicant Tracking Systems (ATS)
•     AI-generated cover letters
•     Job search tracking (Gmail integration required)
•     AI-powered mock interviews (limited free access)
•     Learning resources for job seekers (limited access without subscription)

Example Use Case:
You can use Network AI to tailor your resume and cover letter for each job application, ensuring they align with ATS requirements. Additionally, the AI interview feature can help you prepare for interviews with real-time feedback.

2. Jobscan

Key Features:

•     ATS compatibility analysis for resumes
•     Customizable resume optimization for different job descriptions
•     ATS score calculation
•     Limited free usage (one resume, can be updated with different job descriptions)

Example Use Case:
Before applying for a job, you can upload your resume to Jobscan, compare it against the job description, and modify it based on ATS recommendations to increase your chances of passing automated screening.
 

3. HubSpot Clip Creator

Key Features:

•     Free video creation tool for businesses
•     Allows for quick editing and customization
•     Helps in marketing and content creation

Example Use Case:
If you need to create promotional content for your business or personal brand, you can use HubSpot Clip Creator to generate short, engaging videos for social media, job applications, or portfolio presentations.

Hello Rahul,

Thank you so much for this exercise. I’ve explored a couple of tools. Here are some that got my attention:

1.  Name of the tool: Hedra

• Key features or capabilities: 

It’s a freemium one and will ask you to sign up and log in to use this platform.

It’s a Generative art-based platform that allows users to generate high-quality videos, images, and audio. It even offers an option to create an avatar based on the image uploaded to the prompt.

• Example use case:

I do create content on Instagram, LinkedIn etc.., Just now I have created a pencil sketch image of a boy cycling and enjoying the breeze. I loved it. Tried different image generation models and some are really good and some need improvements.

2. Name of the tool: TextBehindImage

• Key features or capabilities: 

It’s a free one and it won’t ask you to log in and use this platform.

As the name suggests, It’s a Generative art-based platform that allows users to add the respective text behind the objects.

Users can change the size, color, position, transparency etc..,  of the text.

Example use case:

I do create content on Instagram, LinkedIn etc.., As I explained above I was thinking of writing a post for that I have created the above image and wanted to add some text to it and make it so creative :)

Found it useful. Even though I might or might not use it in my work this is going to be the go-to tool for adding the text in travel.

​

3. Name of the tool: Napkin(the one you showed in the session)

• Key features or capabilities: 

It’s a free one but it will ask you to sign up and log in to use this platform.

I heard it before but didn’t try it till I saw you use it in the course and the experience was seamless. It’s not very similar to any editing tool but a lot more than that - It can generate so many visuals for your text, intelligently. It can even allow you to edit the visuals, change the shapes and even allows you to download in PNG, SVG and PDF formats.

It’s like the combination of Microsoft PPT + Canva + AI.

Example use case:

I’m planning to present a potluck plan to leadership and I have all the content but I need some visuals to make my plan look bold. This application made wonders in a few seconds everything was in place and the final and main thing is I’m satisfied with the output.

Not only that, it can even generate content based on the prompt and can turn them into visuals. We can use it in any document preparation.

As we already know - Picture speaks a thousand words. 

Other than that, I’ve already tried DeepSeek so I didn’t check it out again but if you find it is not trustworthy, try to use ChatGPT DeepReason and also similar one from Perplexity.

Thought of trying Whisk - It’s not enabled in India. Loved to hear about it.

And even tried Pencil Sketch Generator - Did signed and waited for 1 hr. Till I didn’t get a mail.

I’ve spent 3+ hours on this activity and I felt great and super productive.

Nice experimentation and response, ​@Dinesh_Gujarathi 

Hello ​@parwalrahul .

Thank you so much for this exercise. I’ve explored a couple of tools.

Here are some that got my attention:

1.Potpie - an opensource framework that changes how we build AI agents.

Here's what makes it special:

It builds AI agents that actually understand your codebase:
→ Creates a knowledge graph of your code
→ Learns relationships between components
→ Understands your coding patterns
→ Adapts to your development style

The agents it creates can:

Debug your code
↳ Analyzes errors and suggests fixes specific to your codebase

Review changes
↳ Identifies impacted APIs before you merge

Generate tests
↳ Creates both unit and integration tests automatically

Design features
↳ Helps with low-level design based on your requirements

The best part?
You can create custom agents for specific tasks.

Want an agent that specializes in your authentication flow?
Or one that focuses on your payment processing?

Just describe what you need in plain English.

This isn't just about automation.

It's about having a team of AI agent specialists that truly understand your code.

It includes prebuilt agents for debugging, code changes, integration tests, LLD, and code generation. You can also create custom engineering agents with the provided tooling system.

Every codebase is unique.
Now your AI Agents can be too.

2.Unsummary

Unsummary is an AI-powered summarizing tool that provides quick and accurate summaries of books, movies, TV shows, podcasts, people, and text. It saves time and money for writers and content marketers, allowing them to integrate the summaries into their work easily. Users can search for various types of content and get concise summaries in seconds, making it a valuable tool for enhancing writing productivity.

For Content Creators and Marketers

• Efficient Content Creation: Unsummary helps writers and marketers save time by providing instant summaries, allowing them to focus on crafting engaging content rather than spending hours on research.

• Improved Content Quality: The tool enables users to enrich their content with concise and accurate summaries, enhancing the overall quality of their work.

• Time-Saving Efficiency: The tool generates summaries in seconds, significantly reducing the time spent on manual summarization and allowing users to focus on creative tasks

• Customizable Summaries: Users can adjust the length and format of summaries to fit their specific needs, making it easy to integrate them into articles, reports, presentations, and newsletters

• Enhanced Productivity: By automating the summarization process, Unsummary boosts writing productivity and helps users create engaging content more efficiently

   ➥When I first started using ‘Unsummary’, I was impressed by how easy it was to navigate and find summaries of various types of content. The interface is user-friendly, and the search function is incredibly efficient. I was able to find summaries of books, movies, and even podcasts within seconds.

  One of the most significant benefits of Unsummary is the time it saves me. As a content writer, I often need to summarize complex texts or provide overviews of movies and books. Before Unsummary, this process could take hours or even days. Now, I can get a concise and accurate summary in just a few clicks

3. Casper AI

Unlock the power of AI with Casper's Chrome Extension. Casper streamlines your workflow with insights and summaries, utilizing OpenAI's GPT.Whether you're preparing for an exam, conducting due diligence on an investment, working on a major deal, or trying to stay on top of new legislation, Casper will make your job easier.

I've found it to be incredibly useful for streamlining my workflow and enhancing productivity. Here are some better ways to use Casper AI and some recommendations based on my experience:

1. Article Summarization: Casper AI is excellent for condensing lengthy articles into concise summaries. This feature is particularly useful for quickly grasping the essence of a document without reading it entirely

2. Content Generation: It aids in creating content optimized for SEO, which is beneficial for marketers and content creators

3. Efficient Knowledge Sharing: Casper AI helps in sharing insights effectively, making it easier to communicate with stakeholders

4. Interactive Summaries: Users can explore counterarguments and request explanations to gain a deeper understanding of the content

Similar kind of notegpt

​@Bharat2609 interesting ones. I really liked the possibility with Potpie.

Imo, in future with more lighter models coming in and better hardware processing capabilities, such frameworks will become the state of the art for coding, application development and scripting.

Thanks for sharing.

Ollie.ai - An app as personal assistant for daily tasks and lifestyle management.

Google AI Studio -  It offers tools for image generation, code assistance, speech-to-text conversion, and various text applications. The platform provides pre-built templates and integrates multiple AI models, making it accessible to developers, business analysts, and general users alike. People might choose Google AI Studio for its user-friendly interface, extensive toolset, scalability, and collaborative features, enabling them to efficiently create, manage, and deploy AI projects across various industries.

Learn About - This tool is designed for learners of all ages and backgrounds, offering a dynamic, conversational approach to learning that can make complex subjects more engaging and accessible. Users might choose this tool for its personalized learning experience, interactive engagement, and comprehensive resources across various subjects.

​@NitinMore - Some really interesting findings and listed tools here. I like Google AI Studio a lot.

It’s also good for learning purposes.

Regarding Learn About, it’s not available in my region (India). Were you able to try this out?

Hello ​@parwalrahul 

Thank you so much for this exercise. I’ve explored a couple of tools, and here are some that got my attention:

1. Testim

• Key Features: AI-powered test automation, self-healing tests, codeless test creation.
• Use Case: As a tester, I can use Testim to create automated tests for web applications without needing to write extensive code. Its AI-driven self-healing feature adapts tests to changes in the application’s UI (e.g., button relocations or updated IDs), saving me time on test maintenance. For instance, if I’m testing a login page and the developers tweak the layout, Testim can automatically adjust the test, allowing me to focus on verifying functionality rather than fixing broken scripts.

2. GitHub Copilot

• Key Features: AI-powered code suggestions, support for multiple programming languages, integration with popular IDEs like VS Code.
• Use Case: When I need to write test scripts (e.g., in Python or JavaScript) for automated testing, GitHub Copilot can suggest code completions and even entire functions based on my context. For example, if I’m creating a Selenium script to validate a form submission, Copilot can propose the syntax for locating elements and handling assertions, speeding up my coding process and reducing errors. This lets me efficiently build robust test suites.

3. Otter.ai

• Key Features: Real-time transcription, speaker identification, integration with video conferencing tools like Zoom.
• Use Case: During sprint planning meetings or requirement discussions with stakeholders, I can use Otter.ai to transcribe conversations live. This ensures I have an accurate, searchable record of what was said—such as specific acceptance criteria or bug details—which I can later reference when designing test cases or verifying fixes. For instance, if a product owner specifies edge cases during a call, I can quickly pull them from the transcript instead of relying on memory or incomplete notes.

.

1. Testim

• Key Features/Capabilities:
  • AI-driven test creation and maintenance
  • Automatically updates tests with minimal manual intervention
  • Visual test creation with an intuitive interface
• Use Case: Testim can automate your regression tests and adapt automatically to changes in the UI. For example, if an element in the web application changes, Testim will automatically adjust the test script to accommodate that change. This could save time on manual updates and allow you to focus on other critical areas.

2. Applitools

• Key Features/Capabilities:
  • Visual AI testing for UI/UX
  • Cross-browser and cross-device testing
  • Automatically detects visual differences and alerts when issues occur
• Use Case: Applitools can help you ensure that the UI looks consistent across different browsers and devices, which aligns with your role of checking visual elements such as font size, color, and spacing. It’s particularly useful for cross-browser testing and when validating UI changes that may not be easily caught by manual testing.

3. Test.ai

• Key Features/Capabilities:
  • Automated app testing using AI for mobile apps
  • Can perform functional and UI testing without requiring explicit scripts
  • Detects user flows and anomalies during testing
• Use Case: Test.ai would be useful for automating your testing of mobile apps. It could detect visual bugs and UI flow issues, helping you quickly identify potential regressions or errors during the mobile version testing you’re working on. It would also be helpful in your automation tasks when verifying visual elements like the mobile layout.