Published posts
11
Fresh writing from the Prompts For Everyone team.
Tactics, workflow patterns, and practical lessons from building with prompts and AI agents.
Published posts
11
Fresh writing from the Prompts For Everyone team.
Featured
1
Lead article highlighted at the top.
What you’ll get
Useful, not fluffy
Writing aimed at doing better work with AI right away.
AI agents forget everything between conversations — unless you give them memory. Here's how agent memory works in 2026, 10 proven techniques to improve it (with benchmarks), and the research frontier pushing memory systems forward.
Why read this
A sharper take on what's working right now.
Read the full article for examples, practical frameworks, and the kind of details that improve real prompt work.
More reads
Most people type one-off prompts and get bland, one-size-fits-all responses. The biggest unlock right now is configuring your AI with custom instructions and memory so every conversation starts from a foundation of context about who you are.
AI research tools have evolved from novelty to genuine alternatives for complex questions. ChatGPT, Claude, and Gemini can now synthesize dozens of sources into cited, structured reports — something that used to take hours of tab-hopping.
Research shows that daily AI users save an average of 4+ hours per week and report better work-life balance. Yet most people are still only using AI for one or two things. Here are seven specific tasks you can start automating today — with exact prompts.
A detailed walkthrough of installing and configuring OpenClaw — the open-source AI agent framework. Learn how to craft system prompts, define agent personality with SOUL.md, build custom skills, and set up persistent memory.
Most people use AI to do more of the same work. The ones saving 4+ hours a week are using smarter prompts. Here are 50 copy-paste-ready prompts across 8 productivity categories — email, meetings, planning, writing, research, coding, brainstorming, and learning.
AI agents have moved from demo to production. 51% of enterprises have already deployed them. Here's what's actually working — agentic coding, MCP, computer-use agents, and multi-agent orchestration — and an honest look at what still isn't ready.
On January 23, 2025, OpenAI launched Operator — an AI agent that browses websites, clicks buttons, and completes tasks without any API. Six months later it became ChatGPT Agent. Here is what it does, what went wrong, and why it changes everything about how software works.
In February 2025, Andrej Karpathy posted a throwaway tweet about letting AI write his code. Four months later, the practice had minted billion-dollar companies, a YC cohort generating 95% AI code, and a fierce backlash about what software engineering is becoming.
Model Context Protocol quietly became the most important AI standard of 2025. Here is what it is, why OpenAI adopted a protocol built by Anthropic, and what it means for anyone building with AI agents.
In 60 days, OpenClaw crossed 250,000 GitHub stars — surpassing React, Linux, and every major software framework. Here is what it is, how it happened, and the 7 most popular ways people are using it.