iOlite is a non-profit blockchain organization. It is bridging the gaps of this blockchain platform to develop and promote the platform being universal to human and machine. It is a unique source of solution raised above the language barriers for the blockchain technology and mainstream users.

The platform works by utilizing the blockchain and machine training technologies through the text that the receivers will provide as input for the programming language and migrates to the target machine programming text languages which are similar to the Solidity for smart contracts of Ethereum.

iOlite blockchain uses the demands of growing the smart contract developers community enabling the non-professionals to interact with machine languages. This helps the trained programmers engaging with the blockchain technology bringing the smart-contracts into the mainstream businesses.

Action Language

iOlite uses Dependency-based Action Language or DAL to support the language creating an understanding of the core language of DAL. It is a part of iOlite foundation teamwork that will subset the language in support of converting the smart contract language schemes, unittests of blocks, core base codes and staging the code for newer proposals that will come through the community.

It is important to point out the plugins releasing the community to have stronger supervisions in modeling. The users will certify the foundation blocks to make the contribution of official releases. The code will be at the open source of the groups being able creating their own domain of FAE. iOlite foundation may support to take responsibility for it as well.

Interactive Learning

There are two types of service taker for interactive learning perspective which are contributors and users. The contributors help to make the stricture in FAE as the structure will use through the contributors by the advancement to the system token. This will be used for the implication to the system publishing the smart contracts for the employment to the contributor structure. The structure has the explicit contributors for signature.

Even the prices can be used according to the codes by lowering the contract execution prices. The system is also protected from the contributors whoever has the desire to use the system as their own through the blockchain. On the other hand, iOlite foundation can run through various algorithms detecting the anomalies creating bad contributors to try out the Hacking system.

Learning Process

The learning process contributes to the advanced coding system from the rank and tokens. The contributors may involve in developing the foundation plugins. This may create the certification of needs to pass a KYC process contributing to the code for staging trees as it is like the module for sufficient rating for the foundation considering the promotion in contributor and structures to the base code.

Every contributor will have potentials for bringing a part to the foundation team. The users can use the system in an unethical way to identify the passed KYC. This might not be permitted for the participants if the foundation plugins. The structures can even drop from the codebase through the plugins to mark the usage of the code as unsafe. From the perspective of the system, the users can even write the codes for the base collection to solve the syntax to perform a look-up into the staging collection as a code to the provided contributors.

Installation of blockchain plugins can be profitable for iOlite to Integrated Development Environments. The programming environment can be used for work as the professional tools for the users.