Frequently Asked Questions

Why choose AI Code Tamers over writing my own prompts?

You might be able to create the software you need on your own. Look over these FAQs for advice before reaching out.


I received incomplete code from AI. What should I do?

If the output halts suddenly, use the prompt, "continue." For lack of details in your prompt leading to incomplete outputs, consider prompt chaining. You can either collaborate with AI on or utilize prompt chaining software.


What if AI makes incorrect assumptions?

AI can occasionally make assumptions based on unspecified data. In such cases, it is best to clarify through a follow-up prompt or use the edit and resubmit function.


The AI-generated code is not functioning. What is next?

Initiate with a descriptive follow-up prompt pinpointing the issue. If this does not work, you may need to debug the problem by hand.


What if the code does not align with best practices?

Provide a specific prompt identifying the best practice that was overlooked. Alternatively, instruct the AI to self-review its output.


Should I keep the prompts used to generate my software?

There is no need to keep your original prompts. If you need to modify your software in the future, you can feed the computer code and modification instructions back in as a prompt. AI can summarize computer code in prose. If you generate new code from an old prompt, you may lose backward compatibility. If you do not keep your prompts, then your computer code cannot get out of sync with your prompts.

Should I use AI to create code for my task or have AI do the task?

For deterministic, repetitive tasks, locally executed code is optimal. However, open-ended problems are best addressed by AI directly. Consider the repetitiveness and execution speed of your task. Local code may have an upfront cost but offers quicker execution.


When should I choose AI-generated code over no-code automation?

No-code automation platforms are primarily designed to address straightforward integration challenges, where the emphasis is on a "when-do" logic flow. Some of these can also be enhanced with advanced custom code functionalities through REST APIs or webhooks. At AI Code Tamers, LLC, we take automation a step further, offering comprehensive solutions that transcend the constraints of basic integrations.


When should I use AI-generated code instead of no-code app builders?

No-code app builders are ideal for applications centered around basic CRUD (Create, Read, Update, Delete) operations on data tables. They streamline the development process for such apps, enabling rapid deployment without deep technical expertise. However, for applications that demand complex logic, intricate workflows, or specialized functionalities, a code-based approach is more suitable. Leveraging AI-generated code can help bridge the gap, offering both the flexibility of custom coding and the efficiency of general-purpose software.

How was this website built?

  1. Prompting Method: This website was built using a method called "prompting," where we ask computer programs specific questions, and it helps create content based on our questions.

  2. Design Elements: We used a tool called DALL-E to create the website's visuals, like its icon and background. We kept trying different designs until we found one we loved.

  3. Code Generation: Once we had our design, we used another tool, ChatGPT, to help write the code for our website. This code was written in languages: HTML, PHP, and JavaScript.

  4. Testing: After creating the code, we put it on a test website (a local webserver) to see how it looked and worked. We created follow-up prompts based on what we saw.

  5. Content Creation: For the written content you see on the site, we first made an outline of what we wanted to say. We then used ChatGPT again to fill in the details based on our outline.

  6. Contact Page: Our contact page seamlessly integrates with HubSpot, a platform known for its user-friendly, no-code landing pages. Any information you submit through the form is securely stored in the HubSpot CRM. Leveraging reliable off-the-shelf software allowed us to meet our requirements without the need for custom development.

  7. Final Touches: Before making the website live for everyone to see, we made some last-minute adjustments to the site's look, such as its colors and spacing (using a technology called CSS).

  8. Going Live: Once everything was perfect, we put the website on the internet, and that is the version you are seeing now!

How are your services priced?

Our typical rate stands at $50/hour, although project-specific rates may vary. If part of the project is subcontracted out, we can coordinate with subcontractors for a 10% markup.


How do you handle proprietary data in my business?

We recommend using mock data. While AI's input and output are sent over the internet, any code designed to function locally will, ensuring your data's security. You may want to run a private cloud AI model or a fully private local one. We will help you determine the level of security appropriate for your business.