Structural Editing Frameworks

Most people think prompts are just about words. They’re not. It’s the structure behind the words that creates clarity and precision. That’s why most people get vague, confusing, or off-target AI outputs. The difference? They use frameworks. Without structure:  ❌ You over-explain.  ❌ You miss key details.  ❌ You get disappointing answers. With structure:  ✅ You set context clearly.  ✅ You define the goal precisely.  ✅ You get consistent, high-quality results. Here are 9 frameworks to sharpen your prompts ⬇️ 📝 A.P.E → Action, Purpose, Expectation  ↳ Example: Write a blog post (Action) to educate readers (Purpose) that includes sources (Expectation). 📌 T.A.G → Task, Action, Goal  ↳ Example: Build a content calendar (Task), describe steps (Action), increase brand visibility (Goal). 📊 E.R.A → Expectation, Role, Action  ↳ Example: Provide a market analysis, act as research analyst (Role), summarize findings (Action). 🎯 R.A.C.E → Role, Action, Context, Expectation  ↳ Example: You’re a digital marketing expert (Role), generate TikTok ideas (Action) for Gen Z (Context), with 10 detailed examples (Expectation). 💡 R.I.S.E → Request, Input, Scenario, Expectation  ↳ Example: Recommend content ideas (Request) for eco-friendly products (Input), targeting young professionals (Scenario), with 5 innovative topics (Expectation). 📣 C.A.R.E → Context, Action, Result, Example  ↳ Example: Improve employee engagement (Context), generate newsletter ideas (Action), boost retention (Result), provide layout suggestions (Example). 🌊 C.O.A.S.T → Context, Objective, Actions, Steps, Task  ↳ Example: Product launch (Context), drive sales (Objective), create 30-day plan (Actions), use email + ads (Steps), build creative content (Task). 🔎 T.R.A.C.E → Task, Role, Action, Context, Example  ↳ Example: Write persuasive fundraising email (Task), as nonprofit communicator (Role), draft 250-word pitch (Action), for Gen Z donors (Context), with emotional appeal (Example). 🌹 R.O.S.E.S → Role, Objective, Steps, Expected Solution, Scenario  ↳ Example: Act as customer service manager (Role), address dissatisfaction (Objective), analyze + resolve (Steps), provide 3-step plan (Expected Solution), delayed delivery (Scenario). 💡 Frameworks aren’t fluff. They’re shortcuts to clarity. When you master them, you don’t just prompt better You think better. Which framework do you use most often: simple (APE, TAG) or detailed (TRACE, ROSES)? Share below ⬇️

Structured writing isn't just for technical writers ... its for anyone who deals with content at scale, including educators. In my recent work developing virtual exchange courses between American and Polish students, I discovered that creating consistent learning materials across cultural contexts mirrors the challenges technical writers face when documenting software for global audiences. Both roles require systematic approaches that maintain quality across diverse contexts. When I started using structured frameworks for my course materials I found I could rapidly adapt content while maintaining pedagogical effectiveness. Here's the systematic approach that evolved: 1️⃣ Content Pattern Analysis I examined my most successful assignments, identifying recurring elements that consistently engaged students. This revealed core components—learning objectives, cultural context bridges, and assessment criteria—that could be systematized. 2️⃣ Framework Development These patterns informed a structured framework where each assignment component became a reusable block that can be adapted for different cultural contexts: ‣ Learning objectives ‣ Background information ‣ Rationale ‣ Instructions ‣ Criteria 3️⃣ Implementation and Testing I began small, converting one successful assignment into this structured format. Testing revealed that what worked for American business writing students also resonated with Polish students when properly structured. This systematic approach transformed what initially seemed like a daunting cross-cultural challenge into a scalable content operation. Bonus ... I can now use these assets to build more content for other contexts using AI.

REPAIR: Robust Editing via Progressive Adaptive Intervention and Reintegration ... LLM Post Training: Why Large Language Models Keep Forgetting What They Just Learned Ever wonder why editing an AI model to fix one mistake often breaks something else entirely? It's like trying to perform brain surgery with a sledgehammer. 👉 The Problem When we update large language models after training, we face a brutal tradeoff. Fix a factual error about Newton's birthplace, and suddenly the model might forget basic physics. Scale this to thousands of corrections, and models often collapse entirely. Current editing methods work fine for single changes but fail catastrophically when applied sequentially. They're either too aggressive (causing widespread damage) or too conservative (failing to make lasting changes). 👉 The Solution Researchers at ContiAI introduce REPAIR - a framework that treats model editing like a feedback loop rather than a one-shot operation. Three key innovations: • Closed-loop monitoring: The system continuously checks if edits actually worked and automatically fixes failures • Smart batching: Groups similar edits together and uses knowledge distillation to ensure consistency • Surgical merging: Combines updates using loss-aware weighting, prioritizing reliable changes over risky ones 👉 The Results Testing across multiple model families (LLaMA-3, Qwen-2.5, DeepSeek) shows REPAIR delivers: • 10-30% better editing accuracy • Dramatically reduced knowledge forgetting • Stable performance even with 1000+ sequential edits The breakthrough lies in treating editing as an iterative process with built-in error correction, rather than hoping single modifications will stick. This addresses a critical challenge for deploying AI systems that need regular updates without expensive retraining. When models can learn and unlearn reliably, they become far more practical for real applications. What editing challenges have you encountered with language models?

This is the best writing framework I’ve ever learnt (and is one that management consultants use to communicate effectively to clients) It is an essential framework that I’ve used in: - Emails - Reports - Proposals - Status updates - etc. It brings clarity, focus and structure to what can otherwise feel like really hard things to write. The framework? 🌟SCQA🌟 This stands for Situation, Complication, Question, Answer 🔹𝗦𝗶𝘁𝘂𝗮𝘁𝗶𝗼𝗻: Sets the stage with context 🔹𝗖𝗼𝗺𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Highlights the problem 🔹𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻: Directs focus to what we are here to address 🔹𝗔𝗻𝘀𝘄𝗲𝗿: Delivers the solution This short, sharp framework is one I come back to time and time again. I use it when I: - Want to get a group of people up to speed fast - Feel my information is too messy and unstructured. - Feel overwhelmed by everything I know and don’t know how to communicate it In practice it can look like this: 𝗦𝗶𝘁𝘂𝗮𝘁𝗶𝗼𝗻: ShopInc's mobile app has achieved high download rates and an average of 4.7 starts in the app store. 𝗖𝗼𝗺𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻: However, user engagement has plummeted due to confusing navigation and a complex checkout process. 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻: "How can ShopInc redesign its mobile app to improve user engagement and reduce the drop-off rate? 𝗔𝗻𝘀𝘄𝗲𝗿: "ShopInc should conduct a comprehensive UX audit to pinpoint friction areas including usability testing. This should be followed by a targeted redesign of the navigation and checkout features. Short. Focused. Compelling. Have you ever used SCQA? Will you give it a try?