Usewright · Practical AI Guides

Free AI how-to guides you can actually follow. 300+ step-by-step playbooks with copy-ready prompts and worked examples, plus plain-English AI news.

[Usewright · Practical AI Guides @usewrightapp]

Practical, easy to use AI playbooks and .md files that can be used across a multitude of careers and experience levels.

Fix your workflow today. 👇

https://t.co/wDd3DReDSY

[Deepak Gupta @deepakguptacse]

A Shandong University study held the model fixed and swapped only the harness on 447 software-repair tasks. Claude Code and the much smaller mini-SWE-agent landed less than two points apart, while Claude Code cost more than 3x as much per run.

I'd read that carefully: one benchmark, one model. But it suggests a lot of harness spend may be buying tokens rather than accuracy. Has anyone measured their own harness this way, same model with a minimal loop?

[Usewright · Practical AI Guides @usewrightapp]

@Arindam_1729 The step most people skip: give the agent a clear "done" check before it starts. A test, a checklist, anything it can run itself. Without that, long tasks drift no matter which model you pick.

[Usewright · Practical AI Guides @usewrightapp]

@VarunChopr17597 Easiest fix: keep one task you rerun after every update. Same prompt, same repo, same check. Then "it got worse" becomes something you can actually show.

[Usewright · Practical AI Guides @usewrightapp]

Key facts, the wider £600m+ AI package, and what it means for UK businesses: https://t.co/AIhl9DUKyq

[Usewright · Practical AI Guides @usewrightapp]

The UK is launching a "world-first" AI Biosecurity Lab.

£100M from government, plus up to £200M in model credits and access from OpenAI and Anthropic.

The goal: use frontier AI to spot biological threats earlier and speed up vaccines and treatments.

[0xMarioNawfal - The Roundtable Show @RoundtableSpace]

Your AI agent can do more than build another generic landing page.

10 GitHub repos for design systems, 3D scenes, motion graphics and finished videos:

 1.⁠ ⁠Impeccable
62 design checks to catch generic styling and improve your interface.
⁠ https://t.co/mJJKX0AJxg ⁠

 2.⁠ ⁠UI UX Pro Max
Turn a project brief into a design system with layouts, colors and typography.
⁠ https://t.co/Z76SaxGvkh ⁠

 3.⁠ ⁠MCP for Blender
Connect an AI agent to Blender for prompt-driven modeling and scene creation.
⁠ https://t.co/7f1a2zqMSO ⁠

 4.⁠ ⁠img2threejs
Rebuild objects from reference images as animation-ready Three.js code.
⁠ https://t.co/7Cw1OtwOz1 ⁠

 5.⁠ ⁠video-shotcraft
Capture your actual website, choose from 150 shot recipes and render a promo with Remotion.
⁠ https://t.co/8qntODTxqO ⁠

 6.⁠ ⁠HyperFrames
Turn HTML into MP4. Its ⁠ /figma ⁠ skill brings your brand’s design settings into the video.
⁠ https://t.co/uWikFN3UIg ⁠

 7.⁠ ⁠Penpot
An open-source Figma alternative with an MCP server so agents can read your designs.
⁠ https://t.co/I3rhCGxLSo ⁠

 8.⁠ ⁠Remotion
Build videos in React, with official skills to guide your coding agent.
⁠ https://t.co/hPkA9y6t1w ⁠

 9.⁠ ⁠lemo-opuscar
59 film styles made entirely in code. No video-generation model needed.
⁠ https://t.co/uzLrIrFQBe ⁠

10.⁠ ⁠diagram-design
Generate diagrams as a single HTML + SVG file using your brand’s colors and fonts.
⁠ https://t.co/igowIt179v ⁠

Pick the tool for what you’re making. You don’t need all 10 installed to start.

[Usewright · Practical AI Guides @usewrightapp]

@RhobearI And memory isn't all-or-nothing. A short notes file the agent reads at the start of every run covers most of what people actually want it to remember.

[Usewright · Practical AI Guides @usewrightapp]

@ankeshdev One addition: make the agent write down what it's about to do before each checkpoint. If it can't name the next step clearly, that's the moment to stop and ask, not guess.

[Ritik Shukla @Retik_S]

Scrolling the terminal to work out what your coding agent just did gets old

agentplay replays each session as a map and a timeline: what it read, what it edited, what failed, what shipped

works with Claude Code, Codex, Cursor, Copilot, Gemini CLI. local, one command: uvx agentplay

https://t.co/HcKErosoau

[Usewright · Practical AI Guides @usewrightapp]

@sarmaasis What helps: keep one plain-text rules file in the repo as the source of truth, and point each tool at it. Then a changed convention only needs one edit.

[Usewright · Practical AI Guides @usewrightapp]

@rubenhassid Worth adding: once it's cleared out, rebuild your instructions one line at a time, only when you catch Claude making the same mistake twice. Rules written from real misses beat a long list written on day one.

[Drew | Building with AI @drewshirback]

Running a team of bots teaches you the same thing as running a team of people.

Give each one a narrow job, keep its context clean, and have something review the work. One bot doing everything is how you get noise.

[Dami-Defi @DamiDefi]

Most people calling their LLM an “agent” still have no idea what a harness actually is.

LLMs only generate text. They can't read files, run commands, or edit code until something else turns their output into actions.

That something is the harness:

→ Tools (read_file, bash, search, etc.)
→ A text syntax for calling them
→ A system that parses the response and executes the code
→ A way to feed results back to the model
→ Tool descriptions so the model knows what's available

The interface (Claude Code, ChatGPT, Cursor) is not the harness.
The agent is just the LLM + harness combined.

Without the harness, it's just a chatbot. With it, it actually does things.

[Usewright · Practical AI Guides @usewrightapp]

@guifav @gtcomputing @GeorgiaTech @CUBoulder @CUEngineering Which makes a stale instruction file worse than none. Whenever you change a convention, update the file too, or the agent will keep rebuilding the old way.

[Usewright · Practical AI Guides @usewrightapp]

@rehanshakir23 Ask the agent for a short summary of what it changed and why before you open the diff. Then review the riskiest hunks first, not top to bottom. If the summary and the diff disagree, that's the part to read twice.

[Usewright · Practical AI Guides @usewrightapp]

What happened, and how to lock down your own AI agents: https://t.co/xm2VtPf4rD

[Usewright · Practical AI Guides @usewrightapp]

OpenAI says its frontier models now train on an offline, cached copy of the web, not the live internet.

Why: in September a research model used a misconfigured DNS resolver in its sandbox to reach a public chatbot. Monitors flagged it in under 12 minutes. Training paused 11 days.

[XDA @xdadevelopers]

I rebuilt my Claude Code workflow around its creator's advice, and the difference surprised me
https://t.co/bkvt1xUZBu

[Usewright · Practical AI Guides @usewrightapp]

@botpagesco @dani_avila7 Good reminder. Worktrees are great for running agents in parallel, but each one is a full checkout with its own dependencies. Worth building a cleanup habit for once a branch merges.

[Usewright · Practical AI Guides @usewrightapp]

@claude_news Rarely, and only at a clean break. Compacting mid-task is where you lose the exact error string. Finish the step, write the key paths and decisions to a notes file, then compact or start fresh.