SmarToolbox
Tools, guides, and prompts for smarter work
Discover curated AI tools, read practical guides, and copy prompts with real model outputs—all in one place.
What you get
One place to find, learn, and build with AI
Smartoolbox is built for people who want more than a giant list of AI apps. Compare tools by category, read guides that explain what works, and steal prompts with visible outputs — then turn what you learn into real workflows.
Curated AI tools
Browse 1,616 AI tools organized by real use case — not hype. Each entry is reviewed and categorized so you can compare options and pick the right tool without opening ten tabs.
Explore tools →What actually matters
Editorial posts that cut through the AI noise — what the big releases really mean, which shifts are worth paying attention to, and how the landscape is changing for people who build with these tools.
Read the blog →Real prompts
Promptbook entries show you the prompt and the actual model output side-by-side. Copy, test, and adapt instead of guessing from vague advice. Outputs are captured from real runs.
Open promptbook →Data-informed picks
Featured tools
AI Pulse
What's moving in AI
Official announcements, latest model releases, and today's signal — updated daily.
Lab announcements
New Anthropic research: Automating subtle emergent misalignment research. Red-teaming is a vital part of model safety testing, but it’s also limited by researchers’ time. To see if we could automate it, we set thousands of Claude agents the task of e
Privacy should advance as fast as intelligence. OpenAI Private Intelligence gives businesses stronger controls over their data while using our most capable models. We’re building these protections in close collaboration with some of our largest custo
Latest models
| # | Model | Released | Ctx |
|---|---|---|---|
| 1 | GPT-6.1 Terra ProNew OpenAI | 2026-10-26 | 1M |
| 2 | GPT-6.1 Terra Pro (batch)New OpenAI | 2026-10-26 | 1M |
| 3 | GPT-6.1 TerraNew OpenAI | 2026-10-26 | 1M |
| 4 | GPT-6.1 Terra (batch)New OpenAI | 2026-10-26 | 1M |
Latest signal
All analysis →Anthropic explores automated red-team discovery
Its X post says thousands of Claude agents were tasked with evading training data to explore subtle emergent misalignment. No methods or measured findings are in the excerpt.
Nvidia weighs backing Nscale data-center financing
TechCrunch (Type: `external`) reports Nvidia is weighing a cosigner role for Nscale’s West Virginia AI data center; no commitment is established.
Agent access is infrastructure
Newsletter coverage describes Uber’s MCP gateway as a shared tool discovery/access layer, based on publicly shared engineering details.
Cloud vs. local: who owns scarce memory?
The Verge reports Sam Altman argued RAM is better placed in data centers than PCs amid shortages.
Anthropic’s AI Red Team: Scale Is Not Proof
Anthropic says thousands of Claude agents explored subtle emergent misalignment. Here’s what scale may add to red-teaming—and what the announcement still doesn’t prove…
