Few-shot prompting, chain-of-thought & system instructions

Advanced LLM Prompting &
System Architecture Engineering

A technical publication exploring chain-of-thought reasoning, prompt injection defense, structured JSON generation, and multi-agent workflow patterns.

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● structured_prompt.py

import instructor
from pydantic import BaseModel

# Enforcing structured JSON output using Pydantic schema validation
class SentimentAnalysis(BaseModel):
    sentiment: str
    confidence_score: float
    key_arguments: list[str]

# System instruction enforcing chain-of-thought reasoning before output
SYSTEM_PROMPT = "You are an expert financial analyst. Think step-by-step in <scratchpad> tags before returning JSON."

Lab Dispatches

Showing 3 posts

#chain-of-thought 7 min read

Unlocking Complex Reasoning with Scratchpad Chain-of-Thought

How forcing intermediate reasoning tokens before final output dramatically increases logical accuracy in mathematical and coding tasks.

OCT 2026 Read Dispatch

#few-shot 9 min read

Dynamic Few-Shot Example Selection in Production RAG Systems

Retrieving semantically similar examples dynamically via vector embeddings to condition LLMs precisely for specialized edge cases.

OCT 2026 Read Dispatch

#json 6 min read

Mitigating Prompt Injection & Jailbreak Vulnerabilities in APIs

Implementing delimiter isolation, untrusted input wrapping, and secondary guardrail validators to protect production agent runtimes.

SEP 2026 Read Dispatch

Advanced LLM Prompting & System Architecture Engineering

Lab Dispatches

Unlocking Complex Reasoning with Scratchpad Chain-of-Thought

Dynamic Few-Shot Example Selection in Production RAG Systems

Mitigating Prompt Injection & Jailbreak Vulnerabilities in APIs

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Advanced LLM Prompting &
System Architecture Engineering