How did TK Tech launch a production-ready AI Agent platform—scaling workflows, integrating 7 tools, and deploying a secure AWS infrastructure?

Industry: Artificial Intelligence & Automation

Country: United States
Company Size: 10–20 employees

TK Tech is an emerging AI solutions company building platforms that allow businesses to design and automate AI-driven workflows. Their flagship platform, GasEngine, helps teams connect tools, scrape and search data, and automate actions using prompt-based agents.

Project challenges

TK Tech needed a production-ready AI Agent system that could support rapid innovation and scale. Their primary challenges were:

• Lack of a backend architecture optimized for AI Agent workflows.

• Difficulty orchestrating multi-step agent tasks with contextual memory.

• The need to integrate multiple third-party tools seamlessly into one system.

• Requirement for a scalable and secure AWS infrastructure that could handle enterprise-grade adoption.

Without a solid backend, the platform risked hitting performance bottlenecks and losing reliability for real-time users.

Website goals

Business Goals:

• Establish TK Tech as a trusted AI-first automation provider.

• Deliver a stable, scalable agent platform for enterprise clients.

• Enable seamless integration of external tools into workflows.

Technical Goals:

• Build a backend with NodeJS (Fastify) for lightweight, high-performance APIs.

• Use LangChain and LangGraph to orchestrate agents and manage workflow graphs.

• Implement Redis for job scheduling, persistence, and retries.

• Deploy across AWS EC2, ECS, and RDS PostgreSQL with load balancers for high availability.

• Add 7 essential tools for automation:

  • Web Scraper

  • Web Search

  • DuckDuckGo Search

  • Tavily Search

  • Google Sheets (Read + Write)

  • Gmail Draft Creation

  • Gmail Schedule Send

Solutions delivered

Byteonic Labs engineered the core infrastructure and backend for TK Tech’s AI Agent platform.

Our approach:

• Backend Development: Built with Fastify (NodeJS) for speed and scalability.

• AI Workflow Orchestration: Integrated LangChain + LangGraph to enable multi-step, memory-aware AI Agents.

• Redis Integration: Configured Redis for queues, scheduling, and persistent agent states.

• AWS Deployment: Deployed services on EC2, ECS, and RDS, with load balancers ensuring uptime and resilience.

• Tool Integration: Seamlessly added 7 automation tools, enabling end-to-end workflows that collect, process, and act on data.

This delivered a modular, future-proof system capable of scaling with TK Tech’s growing feature set.

Results of our collaboration

• Production-ready AI Agent system that supports enterprise workflows.

• 100% workflow automation autonomy with LangChain + LangGraph integration.

• ∞ Scalability with a robust AWS architecture (EC2, ECS, RDS, Redis, Load Balancers).

• Multi-tool integration enabling businesses to automate from data scraping to scheduled email communication.

TK Tech now has a stable, scalable, and innovative AI platform that positions them at the forefront of AI workflow automation.