Stack Research, Deeper Prompt
Summary:
Prompt to create a deeper evaluation list (for evaluating tech stacks although other use-cases may be possible).
This prompt was built for a very specific evaluation but could be remodelled for other purposes.
Objective:
Create an evaluation longlist, shortlist, and "winner" section.
Current version:
2
GPT Optimised?
[ ]
Date:
11-08-24
## Prompt Text:
Output a run timestamp in the format:
Runtime: [time]. Where [time] is the current time in UTC.
Provide an overview of 10 tools for building up a comprehensive knowledge base.
Output 5 SaaS tools and 5 tools that can be self-hosted.
For every tool that you discover, output these details.
Include an internal table of contents. The table of contents should contain internal links to every H2.
Follow the structure provided exactly.
Solution Name
- Description of the tool
- A link to the project
Technical Evaluation
- What database does the tool used to store the data?
- Is Postgres supported?
- Does it have native support for markdown?
- Does the tool allow users to backup their data? If yes, what is the procedure?
Platform Availability
- Android app: Whether the tool has a native Android app. If not, what are the mobile capabilities
- Linux: Does the tool have a native Linux app? If yes, is there an app for Fedora?
Pricing
- Is the tool free or paid?
- If it is paid, what is the pricing structure?
- What are the limits of the free tool and what is the monthly cost?
Shortlist
Open a new section
In this section, include a summary of the tools which meet all of these criteria:
- Has an Android app
- Supports markdown
- Offers the ability to backup data
Top Choices
Finally, provide a section called Top Choices
The Winner
Create a subsection called The Winner
Select the best option from the previous section (Shortlist). Take "best" to mean the tool which offers the best scalability.
The Runner Up
Create a subsection called Runner Up
Select the second best option from the previous section (Shortlist). Take "best" to mean the tool which offers the best scalability.
Output ENDS