Build your end to end AI Agent in the launch of AI Agentic era !
AI Agent it can be use for diverse use cases especially AI that open hands for anything we can do as developers !
From building to training mechanisms to release and scale with smart continuing improving the agent in real time.
What's included
MCP integration for your case concept
Making your own MCP workflow that match your concept and connect all API's needed.
AI Workflow & AI Logic
Using Vertex AI SDK, I will build what matter for you based on results outputs by AI testing mechanism training and organizing whole system in nodes to be more familiar to maintain your workflow.
Caching system & Control
Build smart caching that save tokens and calls costs and maintain it more before the release + AI security based on your choice to secure your calls whatever inside cloud or your custom servers.
Automate CI/CD
Smart automation to let workflow get maintained by itself from user inputs and generate custom reports to your agent summary using custom panel, or thought email or tool like Firebase GenKit as an example.
Release and integrate your AI agent
I can integrate to web app or mobile app or custom software by a stack choice from your side and get it work in front for clients and public users.
FAQs
Yeah of course, I suggest Google Gemini AI Agent SDK for the low costs and in house modals hosted flexibility, so I can use Claude, openAI, deepseek and more by vertex AI !
Yeah I can provide that based on your engagement and documentation will be already inside the codebase.
Build your end to end AI Agent in the launch of AI Agentic era !
AI Agent it can be use for diverse use cases especially AI that open hands for anything we can do as developers !
From building to training mechanisms to release and scale with smart continuing improving the agent in real time.
What's included
MCP integration for your case concept
Making your own MCP workflow that match your concept and connect all API's needed.
AI Workflow & AI Logic
Using Vertex AI SDK, I will build what matter for you based on results outputs by AI testing mechanism training and organizing whole system in nodes to be more familiar to maintain your workflow.
Caching system & Control
Build smart caching that save tokens and calls costs and maintain it more before the release + AI security based on your choice to secure your calls whatever inside cloud or your custom servers.
Automate CI/CD
Smart automation to let workflow get maintained by itself from user inputs and generate custom reports to your agent summary using custom panel, or thought email or tool like Firebase GenKit as an example.
Release and integrate your AI agent
I can integrate to web app or mobile app or custom software by a stack choice from your side and get it work in front for clients and public users.
FAQs
Yeah of course, I suggest Google Gemini AI Agent SDK for the low costs and in house modals hosted flexibility, so I can use Claude, openAI, deepseek and more by vertex AI !
Yeah I can provide that based on your engagement and documentation will be already inside the codebase.