Prompt Engineering & AI Agents

Leverage expert prompt engineering to optimize LLM outputs, and deploy autonomous AI agents that execute complex, multi-step business workflows — integrating with APIs, databases, tools, and custom knowledge for ultra-productive automation.

Leverage expert prompt engineering to optimize LLM outputs, and deploy autonomous AI agents that execute complex, multi-step business workflows — integrating with APIs, databases, tools, and custom knowledge for ultra-productive automation.

We design and implement prompt templates and agent flows matching your business logic — from process automation to RAG or custom agent orchestration using LangChain, LangGraph, CrewAI, or custom stacks. We also use MCP (Model Context Protocol) which is a new, open standard developed by Anthropic that provides a standardized way for AI agents to connect with external tools, services, and data, moving them beyond simple chat to performing multi-step tasks. It essentially acts as a universal "plug-and-play" interface for AI agents, enabling them to interact with various resources like APIs, databases, and code repositories in a consistent and simplified manner, overcoming the previous need for custom integrations and developer effort for each tool.

Key Features

  • Advanced prompt architecture for LLMs, including chain-of-thought and few-shot
  • Agent orchestration for web search, tool use, code execution, and data transformation
  • API/CRM integration (HubSpot, Salesforce, Google Sheets, WhatsApp, property DB, etc.)
  • Fine-tuned model selection (OpenAI, Claude, Llama, etc.) for use-case fit
  • Dashboard/monitoring with Literal AI, model evaluation, and performance analytics
  • MCP (Model Context Protocol) based AI agents to connect with external tools, services and data, moving them beyond simple chat to performing multi-step tasks

Benefits

  • 🎯 Dramatically boost LLM relevance, reasoning and reliability
  • 🎯 Automate intricate marketing, sales, research, or data cleansing tasks
  • 🎯 Minimize manual intervention and human error
  • 🎯 Gain agility with multi-agent, multi-tool workflows

Real-World Use Cases

  • Research agent for automated content/blog generation (CrewAI, LLM agents)
  • Sales scenario identification, customer matching, or campaign management
  • Automated database/SaaS queries via LLM agents
  • Smart property or product search across third-party sources

Our Recent Projects