Flow by AI x GTWY
Powering AI-Driven Workflow Development
Artificial Intelligence is fundamentally reshaping how workflows are designed, deployed, and optimized. GTWY sits at the center of that shift — enabling developers to build AI-driven systems that think, plan, and execute with minimal manual effort.
With Flow by AI, built using GTWY, developers can now create and modify workflows using natural language instead of traditional coding. This collaboration between viaSocket and GTWY demonstrates how orchestration, tool-calling, and LLM intelligence come together to create a new standard for automation.
What is GTWY ?
GTWY is an AI interaction and orchestration platform designed for developers who want precision, flexibility, and control.
At its core, GTWY provides:
A unified interface to interact with multiple LLMs
A bridge-based architecture for modular AI logic
A powerful tool-calling system that lets AI execute real actions
Full observability over how the AI reasons, responds, and executes
Developers can define custom tools, specify arguments, and let the AI call them autonomously — enabling highly functional AI agents without building infrastructure from scratch.
If you're building assistants, automation engines, or dynamic workflow systems, GTWY becomes the execution layer that ties everything together.
How viaSocket Built “Flow by AI” Using GTWY
viaSocket used GTWY to power Flow by AI, a natural-language workflow builder that translates plain English into working automation.
Dual-Bridge Architecture
The system uses two coordinated bridges:
Interaction & Planning Bridge
Handles conversation, reasoning, and interpreting user instructions.Execution Bridge
Performs actual workflow edits using structured tool calls into the database.
This separation creates clean architecture, simplifies debugging, and scales easily.
Natural Language Workflow Creation
Users describe what they want:
“Create a workflow that sends an email when a form is submitted.”
The AI breaks the request down, designs the workflow, verifies steps, and executes changes — all through GTWY’s tool-calling system.
No UI complexity. No manual configuration. The AI handles the entire logic layer.
How GTWY Elevated the Flow by AI Implementation
Model Flexibility
GTWY made it possible to test, swap, and optimize across multiple LLMs instantly.
viaSocket used different models for reasoning, conversation, and execution — all through one consistent interface.
Advanced Debugging and Transparency
GTWY’s logging system provided:
Full conversation records
Tool call history
AI reasoning visibility
Dedicated debugging assistants
Developers could trace behaviors, inspect decisions, and refine prompts with precision.
Dynamic Context Management
GTWY allowed Viasocket to pass contextual data into the AI dynamically, ensuring more accurate and adaptive responses.
Built-In Memory Intelligence
GTWY’s memory system preserved essential information across multiple interactions, ensuring the AI maintained continuity and clarity over long sessions.
Key Engineering Lessons for Developers
Flow by AI highlights several best practices for building scalable AI-driven workflow systems:
Separate conversation logic from execution logic
Use tool-calling for controlled, predictable actions
Leverage model flexibility instead of relying on a single LLM
Maintain detailed logs for transparency and debugging
Retain context intelligently for more natural user interactions
These principles help teams build AI systems that are fast, reliable, and easy to maintain.
Conclusion
GTWY gives developers the power to build advanced AI applications without fighting infrastructure. With Flow by AI, Viasocket proved how natural-language workflow creation becomes possible when LLM reasoning and tool execution are unified under one platform.
Whether you’re creating automation tools, conversational systems, or adaptive agents, GTWY offers:
Multi-model orchestration
High-visibility debugging
Dynamic memory and context
Reliable tool-calling execution
GTWY is where ideas turn into intelligent automation — and where the next generation of workflow systems begins.