{Submit} 7-Day Challenge–Prompt-to-Outcome Challenge

Please submit your Challenge–Prompt-to-Outcome Challenge in the reply below.

  1. Fill out this form to share your artifacts with the DeepLearning team. An example form submission can be found here. Your submission should include the following contents:
    a. Chat transcript (pdfs)
    b. Final artifacts/deliverables created from prompting
    c. Short reflection (as part of the questions in the form).
  2. Confirm in your post that you have completed the form in step b.
  3. If you’d like to make public and share with others, you can include the links in your Forum post, but it is NOT necessary.

Hello, challenge participants. Here is a sample submission for the Prompt-to-Outcome Challenge!

  1. I chose the prompting subcategory: Upgrading a messy process
  2. Tools I used: ChatGPT for general ideas and plans, and Claude CoWork for creation of slides and the GANT chart.
  3. Short Project Description I am planning an upcoming move across the country from a suburb in CA to Brooklyn NY. It’s a headache to figure out all the tasks and decisions I need to make, so I prompted AI to help me create the following three artifacts:
    a. Plan for the move including task lists (all in ppt format).
    b. Plan for the apartment-specific tasks (search, move-out, move-in checklists).
    c. A Gant chart with milestones and timelines for all the specific tasks.
  4. The following are the contents that are included in my shared folder.
    I have made my folder public here, but NOTE, you do NOT need to share yours on your post!
  5. I am confirming I have filled out the submission form.
  • I chose the prompting subcategory: Build a work deliverable end-to-end

  • Tools I used: Claude Sonnet 4.6

  • Short Project Description My goal was to build a customizable word search generator for a book I wanted to create for Amazon KDP. No existing online tool met all my requirements.

  • I used AI to build: a standalone HTML word search generator with custom word lists, themed word bank, flexible grid sizes, and a color-coded answer key, downloadable and usable anywhere without the internet.

The following contents are in my shared folder:

  1. Chat transcript with Claude Sonnet 4.6

  2. Section at bottom of transcript with “Reflection” section of why I created it.

  3. The customizable word search generator.

I have made my folder public here: Deep_Learning_Challenge

I am confirming I have filled out the submission form.

  1. I chose the prompting subcategory: Build a work deliverable end-to-end

  2. Tools I used: Claude

  3. Short Project Description: An AI Trading assistant to generate CFD trade setup ideas, analyze trades taken and how to improve, teach one how to trade and create a trading course

  4. I added the links to the Artifact and How I Made It and the Results in the form

    1. I am confirming I have filled out the submission form with the reflection.

Hi All, Below is my submission

  1. I chose the prompting subcategory: Build a work deliverable end-to-end

  2. Tools I used: chatGPT, codex, Gemini

  3. Short Project Description: Built Inferverse, an AI-assisted Python toolkit for statistical inference with end-to-end development, documentation, and deployment.

  4. The following content is included in my shared Miroverse link, where I created and publicly hosted the project documentation.

    [https://miro.com/miroverse/aipromptchallenge2026/?social=copy-link](https://miro.com/miroverse/aipromptchallenge2026/?social=copy-link)
    

Please let me know if there are any issues in accessing the provided links.

Regards,

Mallesham

11h

  1. I chose the prompting subcategory: Upgrade a messy process

  2. Tools I used: Claude

  3. Short Project Description: Online shopping is time-consuming because shoppers must filter through many options to find clothes that match their body type, budget, style, and values. I created a lean AI-powered clothing recommendation app that asks a few targeted questions and suggests personalized outfits based on body type, budget, and user preferences.

  4. I confirm that I completed step b

Hi!

  1. I chose the Upgrade a messy process category
  2. Tools I used: Perplexity (deep research), Copilot (brainstorming), Gemini (app creation)
  3. Short Project Description: newsr is a web app that takes up to three URLs, extracts up to seven stories per source, scores them using a rubric, ranks them, and lets users sort and share the results. Try it here: https://gemini.google.com/share/a160fb8985d5
  4. Content in my shared folder (link included in the submission form)
  5. Submission form is filled out!
  1. I chose the prompting subcategory: Upgrade a messy process

  2. Tools I used: Hermes Agent

  3. Short Project Description: created a inbox manager that performes like a personal assistant filtering out unwanted emails.

  4. I confirm that I completed the form

  1. I chose the prompting subcategory: Build a work deliverable end-to-end

  2. Tools I used: chatGPT, Claude, perplexity

  3. Short Project Description:

    Built a “Prompt executor” to invoke ollama from a web interface.
    Artifact1: promptex Python code to invoke ollama with basic RAG capability.
    Artifact2: simplewebui.html simple ollama invocation.

  4. I confirm that I completed step b

This post is being submitted after the deadline and is intended for informational purposes only.
Please note that the form containing the project details was submitted on time.
I apologize for any inconvenience this may cause.