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Explore insights, guides, tutorials, and ideas across AI, technology, productivity, and other topics worth reading.

AI agent evaluation infographic showing task success, tool selection, argument accuracy, action sequence, state management, grounding, recovery, authorization, stop conditions, and efficiency.
ai agent evaluationSeptember 3, 2026

AI Agent Evaluation: How to Test Tool Use, Decisions, and Multi-Step Workflows

A convincing final answer does not prove an AI agent behaved correctly. Learn how to evaluate outcomes, tool calls, arguments, state transitions, recovery, authorization, stop conditions, cost, and full agent trajectories.

RRizki Murtadha
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Prompt versioning infographic showing prompt ID, version, parent version, changes, target model, evaluation results, release status, and rollback information.
prompt versioningSeptember 2, 2026

Prompt Versioning and Lifecycle Management: How to Test, Compare, and Ship Prompt Changes Safely

A prompt is not finished when it works once. Learn how to version prompt changes, compare behavior, run evaluations, manage releases, prevent regressions, and roll back safely when a new version performs worse.

RRizki Murtadha
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AI agent memory infographic showing task state, conversation history, working memory, long-term memory, preferences, retrieved knowledge, tool state, checkpoints, summaries, and memory policy.
ai agent memoryAugust 31, 2026

AI Agent Memory and State Management: How to Keep Agents Consistent Across Tasks

AI agents do not need to remember everything. They need to preserve the right state for the next decision. Learn how to separate state, history, working memory, long-term memory, summaries, checkpoints, and memory policies in production agents.

RRizki Murtadha
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RAG chunking infographic showing a well-scoped document chunk with semantic boundaries, local context, metadata, overlap, source identity, and retrieval context
rag chunkingAugust 30, 2026

RAG Chunking Strategies: How to Split Documents for Better Retrieval

There is no universal best chunk size for RAG. Learn how to choose chunk boundaries, overlap, metadata, semantic and structure-aware strategies, parent-child retrieval, and contextual retrieval based on your documents and queries.

RRizki Murtadha
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Anatomy of a tool-use prompt showing task, available tools, selection rules, argument requirements, preconditions, approvals, result handling, error recovery, and stop conditions.
function callingAugust 28, 2026

Function Calling and Tool Use: How to Write Better Prompts for AI Tools

Giving an AI model access to tools is not enough. Learn how to design function-calling and tool-use prompts that choose the right tool, generate valid arguments, respect permissions, handle results and errors, and stop safely.

RRizki Murtadha
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Anatomy of a RAG prompt showing task, source boundary, evidence rules, relevance, conflict handling, missing information, citations, output format, uncertainty, and stop conditions.
rag promptingAugust 26, 2026

RAG Prompting: How to Write Better Prompts for Retrieval-Augmented Generation

Good retrieval does not guarantee a grounded answer. Learn how to design RAG prompts that use evidence correctly, handle conflicts and missing information, cite sources, resist injected instructions, and produce more reliable responses.

RRizki Murtadha
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Website-to-prompt infographic showing a webpage decomposed into page purpose, hierarchy, sections, components, content patterns, visual references, and a reusable AI prompt.
website to promptAugust 25, 2026

How to Reverse-Engineer Website Structure Into AI Prompts

Learn how to reverse-engineer a website into a reusable AI prompt by separating page structure, content hierarchy, reusable patterns, visual references, and implementation assumptions.

RRizki Murtadha
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Prompt injection trust boundary infographic showing trusted instructions, untrusted data, an AI model or agent, and layered defenses against malicious instructions.
prompt injectionAugust 25, 2026

Prompt Injection: How to Separate Trusted Instructions From Untrusted Data

Prompt injection happens when an AI system mistakes untrusted content for authorized instructions. This guide explains direct and indirect prompt injection, agent attack surfaces, trust boundaries, least privilege, tool validation, approvals, sandboxing, and layered defenses for AI agents and LLM applications.

RRizki Murtadha
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Anatomy of an AI image prompt showing subject attributes pose environment composition camera lighting color depth style texture and constraints
image-to-promptAugust 23, 2026

How to Reverse-Engineer Images Into AI Prompts

Learn how to reverse-engineer reference images into reusable AI prompts by analyzing subject, composition, camera, lighting, color, style, texture, and constraints.

RRizki Murtadha
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