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Cursor SDK and the Agent Runtime Layer
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Cursor is an AI-powered code editor that enhances developer productivity through intelligent code suggestions, natural language commands, and seamless integration with existing codebases. Features include multi-line edits, smart rewrites, and cursor predictions, allowing efficient code writing and editing. The integrated chat functionality enables users to interact with the AI for code-related queries, reference specific files, and incorporate visual context. Cursor ensures privacy and security with a privacy mode where no code is stored, and supports importing extensions, themes, and keybindings from other editors. Trusted by engineers at top companies, Cursor is a valuable tool for modern software development.
Glide is an AI tool that enables easy creation and deployment of custom apps without the need for coding. By simply adding a column to a table, users can harness AI capabilities to automate tasks like generating emails, product descriptions, and summaries effortlessly. Glide handles complex AI processes behind the scenes, removing the burden of managing models or APIs. It seamlessly converts JSON into code in various languages, making it versatile for different development needs. Glide works with Google Sheets, Excel, or Airtable to build apps and websites swiftly. Its user-friendly approach and streamlined automation set it apart, offering a convenient solution for app development. Start building your first app with Glide for free today!
Subterranean is a no-code platform for building AI-native full-stack apps with specialist agents handling core parts of the product lifecycle. It presents itself as a technical co-founder style system that brings together data, functions, user interface generation, and deployment in one place, reducing the friction of stitching together multiple tools. This makes it appealing for founders, makers, and product teams who want to create complete applications with AI assistance while keeping control over the end result. Instead of limiting users to a chatbot or a narrow code generator, Subterranean focuses on full application assembly for practical business and product use cases. It fits the growing category of agent-assisted app creation tools aimed at rapid shipping, iterative product development, and AI-first software workflows.
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Related prompts
Business & strategy
Turn a repetitive business workflow into an AI agent deployment plan
Describe any recurring workflow — support triage, lead qualification, research ops, QA, reporting, or back-office reviews — and get a concrete AI agent deployment plan. The output maps the workflow into agent responsibilities, human approval points, tool access, permission scopes, failure modes, observability needs, and rollout phases. It is designed for teams that want to move from vague agent ideas to something production-ready without skipping governance.
Business & strategyAudit whether an AI agent feature is ready for real-world governance
This prompt helps teams evaluate whether an AI agent feature is actually ready for real-world deployment instead of just looking impressive in a demo. It is designed for product managers, founders, operators, and technical leads who need to assess permissions, observability, spend controls, approval checkpoints, failure handling, and auditability before putting agentic workflows in front of customers or employees. The output turns a vague concept or existing workflow into a governance readiness audit with specific risks, missing controls, and prioritized improvements. That makes it useful when a team is moving from prototype to production, preparing for enterprise buyers, or trying to avoid expensive trust failures. It focuses on the operational layer that determines whether an agent can be governed responsibly, not just whether the underlying model is smart enough.
Career & productivityTurn human-written documentation into an AI-agent-ready action spec
Use this prompt to convert messy human-oriented documentation into a structured action spec that an AI agent, automation system, or internal tool could follow more reliably. It is useful when teams have SOPs, onboarding docs, API notes, support playbooks, or internal process guides that are understandable to humans but too ambiguous for consistent machine execution. The output rewrites the material into clear steps, decision rules, required inputs, expected outputs, edge cases, and escalation paths, while preserving uncertainty instead of pretending the original documentation was complete. This makes it valuable for operations teams, product builders, AI workflow designers, and companies trying to make their institutional knowledge more machine-readable without rewriting everything from scratch. It focuses on practical clarity, not abstract theory about documentation quality.
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