The $20 AI Subscription Is Dead — What Comes Next

Work Smarter Not Harder
Stay up to date with the latest AI tools with Smartoolbox.com


Stay up to date with the latest AI tools with Smartoolbox.com

Explore tools
eve is a framework for building durable AI agents with a developer experience similar to modern web frameworks. It helps teams structure agent projects as simple folders, preserve state across runs, and compose agent behavior without rebuilding infrastructure from scratch. Developers can use eve to prototype assistants, automation agents, research workflows, and internal tools that need memory, repeatability, and clean deployment paths. It is designed for software teams, AI engineers, and product builders who want agent systems that feel maintainable rather than like one-off scripts. eve stands out because it focuses on the application layer around agents: opinionated project structure, durable defaults, and a workflow that makes agent development feel closer to shipping a production app.
GitHub Copilot is a revolutionary AI tool that enhances the developer experience by providing contextualized support throughout the software development process. This generative AI coding assistant from industry leaders offers code completions, chat assistance in IDEs, code explanations, and even documentation insights on GitHub. Copilot leverages your coding context, open tabs, and GitHub projects to streamline coding tasks. By tapping into AI capabilities, it helps you write code faster and more efficiently. With comprehensive guides available, developers can optimize Copilots features, learn best practices, and leverage real-world examples to boost coding accuracy and efficiency. Experience a new era of coding with GitHub Copilot.
The Cursor AI SDK lets developers integrate Cursor's AI coding capabilities into third-party tools and custom workflows. Used by products like Slashspace for agentic canvas integration, it provides programmatic access to Cursor's code generation, editing, and reasoning features. Ideal for tool builders and platform engineers who want to embed state-of-the-art AI coding assistance into their own applications.
Try it out
Paste a code snippet and get a complete interactive HTML page with a structured code review. The output covers security issues, performance bottlenecks, readability concerns, best practice violations, and actionable improvement suggestions — all organized in a clean, scannable checklist format with severity badges.
Code & developmentUse this prompt to turn scattered bug notes, logs, screenshots, and reproduction attempts into a developer-ready investigation brief. It helps engineering teams move from vague symptoms to ranked root-cause hypotheses, evidence gaps, reproducible test plans, and practical next steps. The output is structured enough for incident triage, sprint planning, or handoff between support and developers, which makes it useful when a ticket is noisy, incomplete, or emotionally written. Instead of offering generic debugging advice, it organizes what is known, what is still missing, and what should be tested next. It is especially helpful for SaaS teams, solo builders, and support engineers who need to reduce time wasted on back-and-forth clarification before a real fix can begin.
Keep reading

GitHub Copilot’s AI Credits shift shows why agent workflows need cost visibility, not just stronger models and better demos…

Google shipped four products in one recap. Microsoft dropped seven MAI models. Twenty-plus releases in a week, and most will be forgotten. Here's a framework for builders who need to choose, not chase.

xAI's grok-build-0.1 costs $1 per million input tokens. That's not just cheap — it signals xAI is building developer tools infrastructure, not just selling API access.