16 min read
AI Prompt Engineering Blog
Expert guides, tutorials, and insights to master the art of prompt engineering for ChatGPT, Claude, Gemini, and beyond.
Latest Articles
Page 9 of 23agent memoryepisodic memory
Episodic vs Semantic Memory for AI Agents (2026)
Episodic memory is memory of specific events; semantic memory is memory of general facts; procedural memory is memory of how to do things. Here's how each maps to agent design.
LangGraphLangChain
LangGraph Prompting Guide: How to Build Stateful Multi-Agent LLM Apps (2026)
How to prompt LangGraph — state design, node prompts, conditional routing, human-in-the-loop, persistence, and the failure modes specific to graph-based agents.
15 min read
LettaMemGPT
Letta (MemGPT) Walkthrough: How Self-Managing Agent Memory Works (2026)
How Letta's memory-block model, tool-based memory editing, and archival memory let an agent manage its own context — and when it beats vector-only RAG.
15 min read
MastraTypeScript
Mastra Prompting Guide: The TypeScript Framework for AI Agents (2026)
How to prompt Mastra agents and workflows: instructions, tools, memory, RAG, and evals in a TypeScript-native framework built on the Vercel AI SDK.
15 min read
mem0agent memory
mem0 Implementation Guide: How to Add Persistent Memory to Any LLM App (2026)
How to add persistent memory to LLM apps with mem0 — add/search/update/delete primitives, multi-level scoping, optional graph mode, and integration patterns.
15 min read
OpenAI Agents SDKOpenAI agents
OpenAI Agents SDK Prompting Guide: Tools, Handoffs, Guardrails, Tracing (2026)
A working-engineer guide to the OpenAI Agents SDK: agents, tools, handoffs, guardrails, tracing, structured outputs, and when not to use it.
16 min read
TDDtest-driven development
Test-Driven Development With AI Coding Agents (2026)
How to drive AI coding agents through a tight red/green/refactor loop — prompt skeletons per phase, the failure modes that bite, and when TDD beats vibe coding.
16 min read
vibe codingAI coding agents
Vibe Coding: The Complete Guide (2026)
What vibe coding is, when it works, when it breaks, and the prompt patterns that keep it useful — Karpathy's term, operationalized for working engineers.
17 min read
📚 Comprehensive Guide
AI voice promptingTTS
FEATUREDAI Voice and Audio Prompting: The Complete 2026 Guide
The canonical 2026 guide to voice and audio prompting for OUTPUT — TTS, voice cloning, realtime conversational voice, and voice agents. Covers the model landscape, the universal anatomy, three architectures, voice-agent system prompts, and the boundary with the multimodal pillar (which covers audio INPUT).
30 min read
In-depth
audio understandingGemini
Audio Understanding with Gemini Long-Context: A Walkthrough
Gemini 2.5 Pro takes long-form audio as a native input — meetings, podcasts, calls, lectures — and reasons over it directly. This tutorial walks through the upload flow, prompt anatomy, five shippable patterns, and the failure modes that make audio harder to evaluate than text.
21 min read
fine-tuningprompting
FEATUREDFine-tuning vs Prompting vs RAG: The Complete 2026 Decision Guide
Three distinct levers for adapting a frontier LLM to your work — prompting, retrieval-augmented generation, and fine-tuning — with very different cost shapes, accuracy ceilings, and maintenance burdens. This guide is the decision framework.
26 min read
gpt-realtimeOpenAI Realtime API
Prompting gpt-realtime: A Speech-to-Speech Voice Walkthrough
gpt-realtime, OpenAI's Realtime API model, skips the STT-LLM-TTS pipeline and treats voice as a first-class modality. This walkthrough covers the session-config payload, voice-shaped system prompts, turn detection, tool calls without awkward silence, and a worked support-agent example.
18 min read
temperaturetop-p
FEATUREDLLM Temperature and Sampling: The Complete 2026 Reference Guide
A developer reference for the sampling parameters that shape every LLM output — temperature, top-p, top-k, frequency and presence penalties, seed, stop sequences, and max tokens.
22 min read
MCPModel Context Protocol
FEATUREDModel Context Protocol (MCP): The Complete 2026 Guide
MCP is the open standard from Anthropic that lets any compliant LLM client talk to any compliant tool, resource, or prompt server — collapsing the n×m integration problem into n+m.
25 min read
prompt evaluationprompt quality
FEATUREDPrompt Evaluation: The Complete 2026 Guide to Measuring Prompt Quality
How to actually evaluate prompts in production — the evaluation pyramid, golden sets, LLM-as-judge automation, regression suites, and the observability layer that catches drift before users do.
25 min read
prompt injectionAI security
FEATUREDPrompt Injection Defense: The Complete 2026 Security Guide
Prompt injection is the SQL injection of the LLM era — direct, indirect, and jailbreak variants — and the defenses in 2026 are imperfect but real, layered, and worth building.
28 min read
voice generationTTS
Voice Generation Models Compared (2026): ElevenLabs, OpenAI TTS, Hume, Cartesia, PlayHT
Voice generation in 2026 is no longer a one-vendor question — ElevenLabs, OpenAI TTS, Hume, Cartesia, PlayHT, Gemini TTS, and the open-weights tier each win different shots. This tutorial maps the landscape and gives you a per-shot picking framework.
19 min read
📚 Comprehensive Guide
AI image promptingMidjourney V7
FEATUREDAI Image Prompting: The Complete 2026 Guide
The canonical 2026 guide to AI image prompting — a universal six-slot anatomy, the model landscape (Midjourney V7, DALL-E, Flux Pro, Stable Diffusion, Imagen, Ideogram, Firefly), per-model dialects, advanced control, and how to evaluate outputs honestly.
30 min read
In-depth