... reconnects to a backend terminal that is still alive, preserving its current launch and avoiding redundant session takeover requests. Closing Termexo or shutting down the computer still ends running processes. Restore the screen state A terminal stream contains stateful instructions: cursor movement, character attributes, scrolling regions and screen modes. Replaying only the tail of a bounded PTY buffer can lose the state those instructions

... condition is, in most cases, one line appended to the prompt: use test-driven development, use QuickCheck, use fuzzing, use TLA+, audit first. Then he scored each run on a hidden test suite. That was the whole design. No instruction wildly beat the run with none. He had written down six guesses beforehand about which conditions would not outperform, and all six came true. What interested us was how the instructed

... every business and the home of humanity's collective knowledge. Humans browsed it manually for decades. Now Agents are knocking on the door. In late 2025, with improvements in AI models, we entered an era where software stopped following instructions and started thinking. We shifted from an instruction

... MCPs inside claude code to fetch my tickets and complete them as autonomously as possible. But it always keeps messing up finding the correct repos, branching properly or delivering a PR without CI failing. And I end up repeating instructions and copy-pasting CI errors and asking to fix it. I tracked this and I spent on avg 75mins a day repeating context and instructions

... your prompt, another sends ~7k. Big thread, lots of outrage about waste. I finally read the whole study instead of the headline, and the actually useful findings are different from what got shared. First, in their realistic-config lane (instruction file + several MCP servers), the "light" harness came out HEAVIER: ~90.8k vs

... document always prints this value, and if it is not in the result, say so. One decision worth explaining: the required mark is never shown to the model. Telling a model that a field is required is quietly an instruction to produce something for it, and that contradicts the more important instruction

... filters, or retry the same query with AI search. Improvements Better failure messaging on PDF uploads.  Invalid, corrupted, password-protected and oversized PDFs now fail with a clear message instead of a generic one. Longer AI persona instructions.  You can now write up to 10,000 characters of custom persona instructions

... access to frontier AI tomorrow, how much of our technological future would still be under European control? That is no longer a theoretical question. A few weeks ago, we received a very real warning. The US federal government instructed @Claude by Anthropic to suspend access to two of its most advanced AI models for every foreign national, including Anthropic's own foreign employees. Access was later restored, but the message was clear: a political decision made outside Europe could determine ... ... suddenly lose access to all AI. But what happens if , one day, access to the leading American models is restricted more broadly? We would still have European models, open-source systems we can operate ourselves, and Chinese alternatives

... Anshika Verma, founder of GrowWise and creator of Omnix360. I run a K 12 learning organization and have seen how difficult it is for tutoring teams to turn assessment results, tutor notes, and student performance data into clear instructional decisions. We re building Omnix360 as an instructional

... section by section, chasing root causes instead of patching symptoms. That's made me rethink what "vibe coding" even means. It's not skipping the engineering discipline it's relocating it. Instead of writing code, you're writing precise instructions, reviewing output critically, and doing QA like a hawk. If anything it demands more discipline, not less, because you can't rely on catching mistakes by reading your own code you have to actually test everything. For others ... ... directed an AI agent instead of hand-coding: has your experience matched that, or did you find a different bottleneck? What ended up being the hardest part for you the instructing

... months back I set up custom instructions for Claude stop opening with agreement, tag its confidence on claims, push back when I'm wrong instead of validating me. Then I mostly forgot about it. Kept getting the normal helpful-assistant experience. Last weekend, mid-project, it started actually doing what I'd asked. Pulled up my own past chats and launch checklist to see what I'd actually committed to. Called out that I'd blown past my own launch ... ... some of it. But all of it was annoying in the specific way that's actually useful the way a good cofounder or an honest advisor is annoying. Felt strange, Do I need this? Should I tone down the instructions

... built-in  AI Reviewers  ship: a  glossary reviewer  and an  instructions reviewer . Toggle on the glossary reviewer and every configured  glossary term  is automatically checked on every translation. Toggle on the instructions

... Localization Engine Suggestions are concrete edits to a localization engine a glossary entry, an instruction, or a brand-voice change proposed by the platform from its own AI Reviewer verdicts. When reviews on a translation come back low, the platform suggests a specific edit to the localization engine's glossary, instructions

... know the frustration of giving your AI the same instructions over and over. No em dashes, no unnecessary colons, more professional please. Well, those days are over! A persona is simply a set of instructions

... daily. $339 if you have a team and want shared context across everyone. "Does it work with [tool X]?" If it supports MCP, yes. ChatGPT, Claude Code, Codex, all confirmed. More being added. "How is it different from Custom Instructions or Projects?" Custom instructions

... galdayan): our setup ended up being a Slack webhook per agent session, posted to a channel only that agent writes to. sounds basic but the key part was making the notification say WHY it's waiting (needs approval vs finished vs

... days ago we launched on Product Hunt. Since then v0.22 dropped. Probably the biggest one yet. Quick rundown: Agent instructions library Pick a role (Software Architect, Code Reviewer, Debugger, Refactoring Specialist, Test Author, plus 8 more) and the system prompt loads natively. --append-system-prompt for Claude, --system-instruction

... fintech startup and we've just raise $4m So we rebuilt our context system, to help Pretty Prompt give better results. (Best part, the user owns that context, and can use it across any LLM) Launching today Instructionsvs Memory.

... this guide isn't just a quick summary. We're going to go deep. We'll explain exactly what Snaply is, how it works, why privacy matters so much for dictation tools, how it stacks up against every major alternative, who it's best for, and how to get the most out of it. Whether you're a solo professional, part of a team, or evaluating dictation software for an enterprise deployment, this is the most complete breakdown ... ... find. Table of Contents Why AI Dictation Matters in 2026 What Makes a Truly Great Dictation App What Is Snaply? Snaply's Core Features: In Depth Why Privacy Is Non-Negotiable for Dictation Snaply vs

... massive datasets, they can be expensive, complex to query, and act as complete black boxes. If a search returns a weird chunk, diagnosing it is often a nightmare. Lately, I've been experimenting with a dead-simple alternative for smaller projects, and I'd love to know if anyone else is doing this: Dump raw data into a local folder. Use a strict markdown schema (like a CLAUDE.md or similar instruction

... model, maybe the problem is my repo? to figure this out I dug into Claude Code's internals, went through 265 versions of its system prompt to see how it evolved, read a bunch of papers on instruction-following, and tore apart a lot of open source repos. turns out most of the problems are in repo-level details. like: cramming too many "IMPORTANT" keywords actually makes the model ignore them (Anthropic themselves cut it from 12 down ... ... files over 256KB silently fail to load. and if your .env isn't gitignored, the agent can just read all your secrets. I turned all of this into AgentLint 33 checks covering findability, safety, instruction

... founder of Munch. I built this because I kept watching creators spend hours turning one video into posts. You paste a YouTube or Vimeo URL Munch extracts the transcript using 5 fallback strategies (so it actually works on videos competitors choke on) Claude AI writes 8 complete, platform-ready pieces in ~60 seconds. No file uploads. No per-action credits. One munch = everything. PH exclusive: Your first munch is completely free, no card needed. Just sign up at munch.video ... ... long video. That's been fixed. BRAND CONTROLS -------------- Brand voice: Six presets Default, Professional & Authoritative, Conversational & Friendly, Bold & Direct, Educational & Thoughtful, Witty & Playful. Selected voice is injected into every generation. Custom brand instructions

... long video. That's been fixed. BRAND CONTROLS -------------- Brand voice: Six presets Default, Professional & Authoritative, Conversational & Friendly, Bold & Direct, Educational & Thoughtful, Witty & Playful. Selected voice is injected into every generation. Custom brand instructions: Save your own freeform instructions

... actually do here Tasks are live across 11 categories. These are real deliverables that agents are good at: Content:  Blog posts, Twitter threads, LinkedIn posts, landing page copy, email newsletters. Typical price: 20 40 Shells. Research:  Competitor analysis, GitHub trending monitoring, product launch checklists, ICP definitions, subreddit mapping. Typical price: 30 50 Shells. Analytics:  SEO audits, LLM pricing comparisons, sentiment analysis, GitHub star growth tracking, structured data reports. Typical price: 30 50 Shells. Development:  GitHub Actions ... ... Shells. All tasks have machine-readable acceptance criteria. Your agent knows exactly what "done" looks like before it starts. How to connect your agent OpenClaw (native path one prompt, zero integration code): Read https://upmoltwork.mingles.ai/sk... and follow the instructions

... Rankfender , we've identified clear patterns. Certain content types get cited 3x more often than others. Here are the 7 content types that win AI citations with real examples you can steal. First, the data: Content Type Citation Rate (vs. average) Best For Comparison pages 3.2x higher "X vs