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Supporting Drug Discovery Research Via AI Generated UI

Previously we showed Just-In-Time UI generation for an expense reporting app. Today we show the same capabilities being used to support a drug discovery project. In the demo below, we showcase the tight AI integration of the Solvent-Botworx platform and how one might use such an environment to support the drug discovery process.    
Recent posts

Human + Bot Collaboration via Automated UI Generation Part 2

Today we demo a simple expense reporting application that is generated on the fly by AI and used by a human...call it Just-In-Time (JIT) app creation.    

Human + Bot Collaboration via Automated UI Generation

We are releasing some updates to Botworx showcasing context extraction from websites and UI generation to facilitate Human + Bot collaboration.    

Introducing Solvent-Botworx Mobile

Today we are excited to release Solvent-Botworx Mobile, the full Botworx platform via a mobile form factor. You can now take all the power of the Botworx platform on the go.    

Meet Nanny & Watchman, AI security guard and playground monitor

Previously we showed Solvent-Botworx automations making use of human-in-loop capability via AI assistants Billie and Vernon .  Today we showcase observation use cases with two new demo assistants, Watchman and Nanny.      

Meet Billie & Vernon, your AI workspace side-kicks

We previously released our multi-modal AI assisted work space capabilities. Today we release some additional updates showcasing human-in-loop integration.   Vernon     Billie     Combined Demo    

AI/LLM CodeGen Tooling via Dependency Injection

AI tools are the tentacles exposed to AI models in order to allow them to access and drive external functionality. The primary form this takes for LLMs is function calling. We have also seen so-called "computer use" and web browsing designated in similar fashion. For code generation, we could also consider the ability to integrate dependencies in the form of external packages as a form of tooling. In other words anything that extends the capabilities of the AI/LLM model could be thought of as a tool. We can then extend this notion into the runtime environment for the code that LLMs generate by generating code that depends on runtime dependency injection. Late Binding Dependency injection is accomplished via "late binding", meaning the actual implementation of a given functionality isn't specified at the time code is written, until at some later point before execution of logic. Late binding can be implemented at the language level, such as in C++ you have virtual...