Build Your Voice AI Agents - Context Engineering (Day 2)

Описание: Welcome to Day 2 of the Tough Tongue AI Voice AI Workshop. This session goes deep into **context engineering**, the most important skill for building reliable, production-grade AI agents.

Prompt engineering alone is no longer enough. Modern agents need a carefully designed workspace that includes system prompts, tools, memory, knowledge bases, and guardrails. In this session, we show how to design that workspace, walk through a live agent demo, and break down what’s happening behind the scenes.

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What this session covers
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What context engineering really means, and why it matters more than just prompts
How modern AI agents are built using models, tools, and state
A live demo of a coaching agent that remembers users across sessions and uses tools during conversation
How to design effective system prompts, including role, personality, and conversation flow
How and when agents should use tools like MCQs, image generation, or external actions
How to structure knowledge bases and use just-in-time retrieval instead of stuffing prompts
Memory patterns for agents: what to remember, what to forget, and how to summarize long conversations
Guardrails and safety patterns to prevent misuse and off-script behavior
When and why to break large agents into smaller, specialized sub-agents

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Live Q&A topics
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How much information is too much in a system prompt
How structured your knowledge base needs to be
Positive vs negative prompting (what to do vs what not to do)
How to design memory when you don’t have deep domain expertise
Usage limits, access configuration, and recording options
Using transcripts to improve agent behavior over time

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What’s next (Day 3)
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We move from agent design to building the full application layer and embedding your agent into a real product.

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Hashtags
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#ContextEngineering #AIAgents #VoiceAI #AgenticAI #ConversationalAI #GenerativeAI #LLM #SpeechToSpeech #RealtimeAI #AIProductBuilding #AIEngineering #AIDevelopers