Purpose-Built AI Agents
HiveTek · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Most GenAI applications today are reactive, built for single-step tasks. On the AWS platform, you can move beyond this to create agentic AI—autonomous systems that can reason and perform complex, multi-step workflows.
- **Reactive vs. Agentic AI:** Reactive AI responds to a single command (e.g., "summarize this document"). Agentic AI can complete a full goal (e.g., "research a topic, draft a summary, and email it to the team").
- **The Role of Amazon Bedrock:** Bedrock serves as the central hub for agentic AI on AWS. It provides a unified API to access leading foundation models, including the new Amazon Nova family, allowing you to choose the best model for your specific needs.
- **Data Foundation (RAG & Vector Databases):** True agentic solutions are powered by your data. Retrieval-Augmented Generation (RAG) links your model to a private vector database, enabling the agent to retrieve relevant information from your data at runtime, ensuring highly accurate and context-aware responses.
- **AI Protocols & Frameworks:** AI protocols and open-source frameworks like AWS Strands Agents provide the scaffolding for your agent. They give the agent a structured way to plan, interact with other tools and APIs, and work collaboratively with other specialized agents to achieve complex goals.
- **Prompt Engineering:** Advanced prompt engineering is a key technique for guiding your agent's behavior and performance, ensuring it stays on task and adheres to your business logic.
Highlights
Highlighted by the publisher on AWS Marketplace.
Move beyond simple, reactive AI applications to build powerful agentic AI that autonomously reasons and executes complex, multi-step workflows.
Amazon Bedrock serves as a central hub for building and deploying agents, providing a unified API to access leading foundation models, including the new Amazon Nova family, while supporting advanced techniques like Retrieval-Augmented Generation (RAG) and sophisticated prompt engineering.
Power your agents with a robust data foundation and AI protocols to ensure accurate, actionable results.
Agent build and provenance
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