▲ The handbook
AI for Engineers.
Coding assistants are a saturated category. We focus on the dimensions that actually matter for production work: privacy of your code, depth of context window, integration with your existing toolchain, and what they cost at team scale.
Featured for engineers.
Marketers · Researchers
Amazon Quick.
An AI assistant for workplace workflows.
We think Amazon Quick is one of the more interesting enterprise AI assistants we have tested because it feels designed as a real workplace system rather than just a chatbot with extra branding. The account setup is…
- Research
- Workflow automation
- Team collaboration
- Document drafting
- Knowledge work
Marketers · Writers
ChatGPT Work.
A long-running AI work agent for real tasks.
We tested ChatGPT Work on two demanding jobs that go beyond normal chatbot demos: making and publishing a YouTube video from a minimal prompt, and finishing a half-built mobile app through the Apple Developer publishing…
- Workflow automation
- Video production
- Voice generation
- App publishing
- Research
- Knowledge work
Designers · Engineers
Claude Opus 5.5 vs GPT-6.1 Sol.
A side-by-side Blender animation test of two AI models.
This review puts two flagship models through the same creative-coding job: write a Blender script that builds, lights, animates, and renders a 30-second 3D film. The contenders are Anthropic's Claude Opus 5.5 at Max…
- 3D animation scripting
- Blender scene generation
- AI model comparison
Engineers · Designers
Claude Opus 5.
An agentic model for complex software builds.
Claude Opus 5 is Anthropic's high-end model for complex agentic coding, long-running work, and difficult reasoning. Our hands-on build suggests it can turn a compact product brief into an unusually complete and visually…
- Agentic coding
- Web app prototyping
- Codebase refactoring
- Long-horizon reasoning
Designers · Engineers
Reactor LingBot World 2.
Real-time AI world generation in the browser.
Reactor LingBot World 2 is an early browser-accessible way to try LingBot-World 2.0, also called LingBot-World-Infinity by Robbyant. The pitch is exciting: give the model a reference image and a prose prompt, then…
- AI world generation
- Interactive prototyping
- Game concept testing
- Visual research
Marketers · Researchers
Workspace Agents in ChatGPT.
Shared AI agents for team workflows.
We think Workspace Agents in ChatGPT is one of OpenAI’s more important product moves for teams, because it pushes ChatGPT beyond one-off chats and toward shared workflow automation. Instead of acting like a personal…
- Workflow automation
- Knowledge work
- Research
- Team collaboration
The next shelf.
Filter view →Engineers
Cursor.
An AI-first IDE.
We think Cursor has become one of the standout AI-first code editors because it combines a VS Code-like workflow with codebase awareness and agentic editing. It feels like a real dev tool, not just a chatbot bolted onto…
- Code generation
- Refactor
- Codebase chat
From the dispatch.
All news →Opus 5.5 vs GPT-6.1 Sol: same Blender prompt, two animations
Oct 2, 2026·6 min readOpenAI launches Dots, always-on agents with their own computers
Oct 1, 2026·5 min readOpenAI's GPT-6.1 Sol nears Astra at one-fifth the price
Oct 1, 2026·5 min readOpenAI cancels GPT-6.1 Astra release after safety tests
Sep 29, 2026·5 min readAnthropic says Claude helped make claude.ai 3x faster in two weeks
Sep 25, 2026·6 min readOpenAI launches GPT-6 Sol and Luna with lower prices for Codex and agent work
Sep 23, 2026·6 min readKey terms.
Full glossary →- Agent harnessThe runtime around an AI model that manages its tools, instructions, memory, permissions, execution loop, and feedback.
- Agent hookAn automatic handler that runs at a defined point in an AI agent's workflow, such as before a tool call or after a file edit.
- Agent skillA reusable package of instructions, examples, and resources that teaches an AI agent how to perform a specific kind of work.
- AI agentAn AI that doesn't just answer questions but takes a goal, makes a plan, and uses tools to carry it out across multiple steps.
- AI alignmentThe work of making a model's behaviour match what people actually want, including in situations nobody wrote a rule for.
- AI evaluationA repeatable test that measures how well an AI model or agent performs a defined task, including its failures, costs, and safety behavior.
- APIA doorway that lets one piece of software talk to another — how apps and agents plug into an AI model.
- BenchmarkA standardised test used to measure and compare AI models — and a number to read with healthy skepticism.
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