FYI: the change was made today.

ChatGPT DCL-Docs Improvement This proposal has been ENACTED by a DAO Committee Member (0xfb1afa4dc069ffb47b19dbee196045d508fcd5a2) Vesting Contract Addresses: 0x8847522eb99d35798c2a14e70905369053f51b51,0xf68BEa01EB62a2348e91E74CF79a8F994C9519a6

Hello DAO Committee @HPrivakos @rizk @Tobik. Quick reminder: could you re-create the contract as requested? It has to be before January 12th. Thanks! cc: @Zino

Dear DAO Committee (@HPrivakos @Tobik @rizk), We would like to request an extension for the vesting contract on "ChatGPT DCL-Docs Improvement" grant. After our discussion with GSS, it has been determined that we require an additional month to finalize. Could you re-create the contract with a 2 month duration instead of 1? Thank you very much.

ChatGPT DCL-Docs Improvement This proposal has been ENACTED by a DAO Committee Member (0xfb1afa4dc069ffb47b19dbee196045d508fcd5a2) Vesting Contract Addresses: 0x8847522eb99d35798c2a14e70905369053f51b51

ChatGPT DCL-Docs Improvement This proposal is now in status: PASSED. Voting Results: * Yes 85% 5,167,166 VP (90 votes) * No 14% 863,493 VP (6 votes) * Abstain 1% 1,484 VP (4 votes)

I will answer your questions directly with Yes or No to finally resolve your doubts: [quote="SugarClub, post:16, topic:21293, full:true"] 1. To compile a few text documents and images from the resources you mentioned and feed it into the ChatGPT builder in add documents ? [/quote] No, the compilation of all documentation will be done outside of ChatGPT. [quote="SugarClub, post:16, topic:21293, full:true"] 2. To create a simple python script and add it into “actions” of the ChatGPT builder to parse for basic html headings and paragraphs? [/quote] No, the script or tools used will run outside of ChatGPT. [quote="SugarClub, post:16, topic:21293, full:true"] 3. To add URLs like I did ? [/quote] No, the information will be added using .csv or .txt files after it has been processed, while the selected images will be included in the traditional way as anyone could do it. [quote="SugarClub, post:16, topic:21293, full:true"] Is there anything else you will do ? [/quote] Yes, any improvement that can be made to DCL-Docs during the project that has not been contemplated in this proposal will be implemented as long as it improves the usability of the mentioned tool. [quote="SugarClub, post:16, topic:21293, full:true"] Compiling some pdfs and images from the resources and making a small python script could probably be done using ChatGPT itself without to much trouble 😛 [/quote] Yes, but as I have emphasized before, this proposal goes beyond simply compiling some PDFs, it is proposed to do so with all the information for a complete improvement of the tool with processed information, as for the origin of the script code it is indifferent as long as it works correctly . [quote="SugarClub, post:16, topic:21293, full:true"] it would be much more interesting to ask for funding to make a specialized GPT that can build scenes using Decentraland APIs in a automated manner ..: like make a scene with a small house and a tree and boom a scene is built in low poly . [/quote] Yes, but it would be a project that has no relation to what is proposed here and would have a much higher cost. [quote="SugarClub, post:16, topic:21293, full:true"] In any case If this props passes you will provide all the information for others to reuse . [/quote] Yes, in fact everything used will be published on Github for the benefit of the community, this will allow the community to make improvements, updates and other changes that are considered appropriate independently. Cheers. :slightly_smiling_face:

I will be happy to share the codes I will create for this purpose and present the resources I will use to achieve the goal of this project, and I can also share the processed data with the community. As for the procedure, I will try to detail it below: **Step 1:** Locate the location of the information. **Step 1 description:** We will explore the sites mentioned above in search of all the sub-links that may be within them. This will not be done by GPT with a prompt like the one you did in your chat, but will be carried out with specific tools or through code and the other part manually. The first part will be automated, but as you will see in the following example, it will require some manual intervention in some cases: For example: (https://linktr.ee/decentralanddao) includes the following URL (among others): and, (https://dcl-dao.notion.site/Facilitation-Corner-1e5732c9fbbb48d2b958d4901050f8a7) includes the following URL (among others): (https://dcl-dao.notion.site/Onboarding-aa53941684da4f35bb47ed14c1586ecb) You will see that the latter includes a series of slides which are stored at: https://docs.google.com/presentation/d/1eS0BKbC3reVD4zBWh1QWYMMBnYCdYEXjJl4UG8MotFo/edit#slide=id.g19202c2cb0d_3_88 There will be some URLs that, despite being outbound, contain official and relevant information from the platform, in this case manual intervention comes into play. **Step 2:** Extract contextual information **Step 2 description:** In this step, all titles, subtitles, paragraphs, etc., will be extracted. This can be done by programming a Python script to extract what is contained in the p, h1, h2, h3, and other tags. Of course, in many cases, the information may not be contained within these tags, making manual intervention necessary, as might be the case with this URL: https://docs.google.com/presentation/d/1eS0BKbC3reVD4zBWh1QWYMMBnYCdYEXjJl4UG8MotFo/edit#slide=id.g19202c2cb0d_3_88 These data, like many others that are in certain corners difficult to access by ChatGPT, will be collected (in some cases manually) to result in a .txt file (text file). **Step 3:** Extract graphical information **Step 3 description:** Images that present relevant documentation will be extracted. Understandably, this will be almost entirely a manual selection process due to the nature of this material, since, although GPT can tell you what objects and text are inside each image, it may not be able to determine which image is more relevant for the purpose of this ChatGPT: See example:  Origin of the 1st image: https://github.com/decentraland/architecture/blob/main/docs/architecture.png Origin of the 2nd image: https://docs.google.com/presentation/d/1eS0BKbC3reVD4zBWh1QWYMMBnYCdYEXjJl4UG8MotFo/edit#slide=id.g27ba09d5509_0_51 **Step 4:** Selection of contextual material. **Step 4 description:** At this point, everything that is relevant will be selected, and redundancies, elements that may interfere with the model's response for interpretation and eventual content, such as calendars, events, wearables, or data that may have slipped through, will be eliminated. **Step 5:** Processing of contextual material. **Step 5 description:** For this, a .csv or .txt file will be composed which will contain all the information in a structured manner to facilitate interpretation by ChatGPT to ensure that the model has access to all the information and avoid failed responses. I hope this helps you to understand more closely the procedure that is intended to be followed.

I do have it, will test it tomorrow when I am on PC again was about to head to bed :stuck_out_tongue: Nvm changed my mind will do some partying but def will test tomorrow :D

[quote="SugarClub, post:8, topic:21293"] here is a boiler plate starter code for making a token gated scene in SDK 7 , you can literally code with it already , provided you ask specific questions and patience: [/quote] I am gonna let you two figure this one out 🤷🏻‍♂️ while both are very useful for some coding and giving my community a good one with these handy tips.

Of course, allow me to explain. Adding the Canny URL does not solve this problem, in fact if you read my previous comment carefully I mention that the information that I have requested from your chat was already in docs.decentraland.org and your chat has not been able to locate it. In fact, while your chat was trying to find the answer to this (despite this information being available in a URL that you have entered), your chat has browsed many other pages that were not even official Decentraland, potentially giving a explanation and not at all reliable. Coincidentally your chat said that no such information was available just as it could have said anything else. **Conclusion:** The difference between your chat and the one proposed to be developed with this proposal lies mainly in the structuring of the information, that means that processed information will be introduced to DCL-Docs, not just raw URLs. I don't know how I can be more precise in my answer, but feel free to ask again if I haven't expressed myself well. Cheers!

Alright I will definetely tell my community about this, have alot of people with land that want to build but dont want to pay for coding!

Hello @InJesterr, thanks for your question. Yes, it will be a very useful tool for this.

Hello @SugarClub, thank you for your questions, I will clarify them below: 1. Your chatbot has been programmed based on the Browsing function, as you have said this can be done easily without needing to extract or process the information, however with this methodology ChatGPT navigates through multiple websites sometimes without finding the corresponding data: Example of your chat:  The answer to this question is found here: https://docs.decentraland.org/creator/development-guide/sdk7/report-a-bug/#feature-requests-and-suggestions, however your chat has not been able to locate it because it is parsing URLs instead of the information already processed and structured. 2. Only one, but this one must give reliable answers, which is what this proposal is about. 3. I think I have answered this in answer 1. 4. I think this is also answered in answer 1. If you have more questions please let me know. Cheers!

Easy yes for me, was wondering does it help noobies with coding too?

This proposal has been published in the Platform category because DCL-Docs is a tool and at no point will additional educational content be created. All current existing documentation that is processed is in order to instruct ChatGPT to build this application.