[REDACTED] 2024 | TICLE AI Backend Builder With Web3

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1. 0:00

   thank you for giving me the opportunity to present here today I'm excited to introduce our project ticker to creat an AI B build with web let me start by introducing myself okay my name is Dennis CEO and CTO tier in the past I worked over 10 years as an ener research and engineer I worked with Korean erm called hypera X there also commercial model like gp3 and gp4 with 82 billion

2. 0:37

   parameters pre-trained on 8 terabytes of Korean Tex it is now supporting real world applications for neor and line I also have pre-trained and unloaded on incode decode based RM called p52 hugging phase itas gained over 10 million downloads and is still being used in widely in Korea through this experience I was especially interest interested in using AI to help backend Builder this led to building ticker with an AI tool that automatically builds and

3. 1:16

   manage cloud system from end to end so okay so let's buy let's start by looking at the challenges of B development today it's always been demanding but there are three main challenges they make so complex first there are scalability maning large amount of data and handling heavy traffic with low Laten is no more fit but B systems need to keep up with user demands which means they must be designed to handle heavy work rules with without uh low latency

4. 2:00

   second interoperability integrating various apis and ser Services into a unified system requires a lot of times and efforts whether it's payment gateways databases or third party apis achieving sness integration of an inverse custom coding and T Shooting finally is maintenance B infrastructure must be kept secure and update which is a continuous effort for development teams constant objects and

5. 2:33

   SEC patches are time consuming and resource intensively we have started the project that address these M pain points allowing developers to more focus on Innovation and less on managing infrastructure okay to serve these challenges we are are building ticker with two main components the first is ticker AI this has an autonomous AI agent to manage Bend development tasks these agents hinder everything from service defining and to deploying

6. 3:15

   backend environment they were almost like human developers automating what otherwise be manual work the second is ticker Hub which is our decentralized API Hub this platform injures API Quality Security and reliability through a transparent community-driven review process together ticker Ai and ticker Hub create a streamlined efficient approach to band development so look at details of ticker

7. 3:50

   AI ticker AI transforms B development by automating every step of the process the first step is planning process in this P ticker AI understands the users requirements and plans how the services will be how services will be built users can easily add or remove features during this planning process ticker AI also understands uh from popular Services features like Instagram or watch allowing it to identify and plan similar functionalities simly

8. 4:30

   next is API selection and recommendation ticker AI analyzes which feature and identifies the necessary apis for implementation it recommends these apis by retrieving them from extensive API rep using Rod when there are multiple options T uses reliability scores to determine the best recommendations which is helping users make well informed decisions after selecting the apis the next step is assembling and integrating them the chosen apis may come with

9. 5:10

   different databases or data formats tick AI manages dependencies between them like mpm it also ures proper data distribution using MTI multis schema suppport in postr square if a new API required TI a automatically generates code and present it to the user for confirmation finally once everything is assembled according to the user intent and the service is deployed to tickers M cloud system this includes most

10. 5:47

    deploying it to API and dependencies together it provides front and developers get through sub experience even after deployment de AI continues to support users can iterate this process for making the back end is maintainable so ticker AI does more than just automate B development it also intelligently creates the right apis for each task first tick AI has an in-depth understanding of the services background

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    task then it performs API search and selection TK use embedding search through a knowledge base of apis and finds the ones that best fit the services requirements finally for sness integration tier AI takes care of their their integration process to make sure these apis work together without any issues and no disr B performance T is Standalone system that works without any apis we need to supply

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    numerous domain specific apis that align with ticket protocol for the AI to function effectively to achieve this we decide to Source API providers through the web stre Community then we gain the following benefits first is token based incentives tickers native token is used to reward API Developers reviewers and committee members API quers re are rewarded for submitting uh high quality code and inspectors are compensative evaluating these

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    apis second the token enables a decentralized API hub using tokens ticker creates a decentralized hub where API Services can be discovered traded and consumed this encourages to op Open Marketplace of API Solutions finally token harders participate in this platform and inuring tickers long-term sustainability this creates transpar transparent and self- sustaining ecosystem up sorry

14. 8:27

    um sorry this slide uh sorry the slide is wrong so uh let's talking about the so we also make ticker Hub which is built the web Community to share our Revenue it's a decentralized platform where developers reviewers and stakeholders or play unique rules AP cor submit their work to Ticker H and inspectors evaluate apis for Quality Security and reliability they are are providing ratings on and feedback of

15. 9:03

    apis then they are guess some incentives that is part of transaction of the apis delegators St tokens to endorse the most reliable inspectors and their portfolios it is guiding the ecosystem and determining which API gain the most useful and Trust in con conclusion ticker is redefining back end development through automation uh de Ai and community-driven governance we are exciting to make

16. 9:40

    future of Dev AI with web3 if you're interested in being part of this Innovative ecosystem you can register way list on our better service by this Q code you will have the chance to ear reward gain visibility for for your apis and help us shape a more efficient for automated future of V development thank you