Tag: Gen-AI
Generative AI vs Agentic AI vs AI Agents
We use the same word — AI — for three very different jobs. One writes your draft. One runs your process. One drives your truck. When teams say let’s add AI, they often mean one of these but build the wrong abstraction. Generative AI is a production engine. It turns a prompt into content. Agentic…
Read MoreWhy System Prompts Aren’t Security Boundaries: Moving to Zero-Trust AI Agent Architectures
When autonomous agents move from text generation to mutating production state, executing dynamic code, modifying ledgers, or triggering payouts, traditional perimeter firewalls and system prompts fall short. System prompts are soft constraints easily bypassed by prompt injection or model drift. To run agents safely in production, we must enforce deterministic security controls outside the LLM…
Read MoreArchitecting Unified Multimodal Commerce: WhatsApp Ordering via Bedrock AgentCore and MCP
When designing modern customer-facing systems, channel fragmentation is the silent killer of user context. Having separate tech stacks for chat, phone orders, and web experiences turns returning customers into strangers. This reference architecture changes the paradigm by anchoring the entire experience to a single Meta WhatsApp identity using Amazon Bedrock AgentCore and the Amazon Nova…
Read MoreAgentic Pattern – Prompt Chaining notenook code
code: https://github.com/krishnamanchikalapudi/examples.ipynb/blob/develop/LLM/Agentic%20Patterns/PromptChaining.ipynb
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