AI Use Case Creator For Work
- Laurence
- Apr 7, 2024
- 2 min read
Updated: May 19, 2024
Link to the tool: https://chat.openai.com/g/g-c8LP5ekfp-ai-use-case-creator-for-work
Contents
1. Aim
Best suited for
Anyone wishing to identify AI use cases relevant to their work context.
Tool summary
GPT Name: AI use case generator (for daily life)
A tool to generate a range of AI use cases that are relevant to the user’s work context.
Use cases
Identify - relevant AI use case ideas.
Create - a structured set of consideration for implementing an AI use case.
2. Workflow
The tool follows a simple workflow.
Note - the dashed line for the third step represents using another tool. Only applicable if keen to turn an AI use case into a working AI tool.
To make this more real, I've included an example walkthrough of the tool below, which follows this workflow.
3. Example walkthrough
Step 1: Add work context
The user requests the use case questions.
Step 2: Generates use cases (for work)
The user answers any relevant questions (and skips the rest).
The tool then summarises the user's inputs and completes 3 activities in sequence:
(i) Lists 10 use cases,
(ii) Shortlists 3 use cases,
(iii) Picks an example and details a structured set of wider considerations.
However, the user prefers another use case to the example, and selects "AI-Driven Financial Insights" to get an outline of it's wider considerations.
The user, after reviewing the detail, asks to amend the use case (in this example, asking for a simpler proof of concept that avoids the more effortful activity to implement an AI tool).
Step 3: Create AI tool for the use case
The user, now happy with the use case, uses another AI tool called "Custom GPT Creator" to turn the use case into a set of GPT instructions.
If interested in how you can use this tool to turn a use case into a working custom GPT, see it's blog at: https://www.another-ai.com/post/custom-gpt-creator
This sums up the walked example.
If seeking to build your own tool, you can see the main design principles and core features that guided the thinking behind this tool below.
4. Design principles
Existing principles
Mirrors all design principles on the 'About' page.
Additional principles
Run a series of steps end-to-end, without needing user input to:
improve outcome speed
act as an “AI agent” (instead of an “AI co-pilot”)
5. Core features
Targeted focus
Filtering questions - to help the user (1) get relevant results and (2) capture all the user’s key requirements
Improved outputs
Chain of thought (CoT) prompts – use of proven CoT techniques to improve outcomes.
Structured example outputs – automatically creates a structured use case layout to help shape the user’s review.
Ease of use
Visible workflow – allows the user to interrupt and “course correct” the GPT’s workflow, as the user’s thought process develops.
You can access the tool at the link below.