Category Focus/categories/automation
Automation AI Tools
Discover and compare the best automation AI tools and software. Browse 491+ curated tools with reviews and rankings.
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DR 0
Tminus is an AI-powered service that handles the entire iOS App Store submission workflow for developers. It targets indie devs and AI builders who can build an app quickly but get stuck on the publishing process, turning weeks of paperwork into a hands-off experience. The platform generates App Store metadata and screenshots automatically, submits the binary, and monitors review status. If Apple rejects the build—about one in three first submissions—Tminus reads the reviewer notes, identifies the specific violation, corrects the metadata or screenshots, and resubmits without human intervention. It works with apps created in Rork, Cursor, Lovable, Bolt, or Xcode, so teams are not locked to a single builder. Users upload a build through Tminus; the system then creates the required promotional text, keywords, and screenshot sets, files the submission, and keeps the developer informed. When a rejection arrives, an internal agent parses the reason, applies the necessary changes, and pushes a new version back to Apple, looping until approval. By automating rejection handling and metadata generation, Tminus lets developers focus on product instead of App Store bureaucracy. The service is positioned as an affordable layer that sits alongside existing no-code or AI tools rather than replacing them. Tminus is aimed at indie iOS developers, weekend builders, and teams using vibe-coding tools who want to ship fast without learning Apple’s review guidelines or hiring external help.
AI Hardware Engineer by iOrchestra is a platform that transforms hardware development by converting text prompts into production-ready designs within minutes instead of weeks. The system utilizes AI agents to handle the entire hardware design workflow, covering electrical, mechanical, thermal, and systems engineering disciplines. The platform generates comprehensive hardware designs including PCB layouts, schematics, mechanical design, and industrial design. It provides simulation capabilities to test designs before physical prototyping, enables iteration on generated designs, and automatically creates Bills of Materials. The system supports direct manufacturing export, streamlining the transition from design to production. Users describe their hardware requirements through text prompts, and the AI agents generate complete designs across multiple engineering disciplines. The platform then simulates the generated designs, allows for iterations and refinements, automatically produces Bills of Materials, and prepares files for direct manufacturing. This approach eliminates the traditional weeks-long design process, reducing development time to minutes. The platform addresses the significant time gap between hardware concept and production-ready design, which traditionally takes months of engineering work. By automating the design process across multiple engineering disciplines, it enables faster prototyping and reduces time-to-market for hardware products. The system is designed for hardware engineers and teams working on design-to-production workflows. Engineers from major technology companies including Tesla, Amazon LEO, and Google are already utilizing the platform. The company has applied to Y Combinator's S26 batch and offers free options for users to try the platform.
DR 0
nbdeploy is a tool that transforms Jupyter notebooks into production-ready Python projects. Unlike code-writing assistants, it analyzes the entire notebook structure, understanding cell dependencies and identifying potential production issues before refactoring the content into clean, modular Python code based on the architecture you select. The platform provides a complete project output including modular code, deployment guides, CI/CD scripts, deployment scripts, and a full project structure. Users can review every AI-generated fix through a diff view before applying changes, maintaining full control over the final codebase. The tool supports one-click GitHub integration for seamless project deployment. nbdeploy works by first mapping all cell dependencies within the notebook to understand the complete workflow. It then detects elements that could break in production environments and systematically refactors the notebook into modular Python components. The refactoring process follows the architectural pattern chosen by the user, ensuring the output aligns with production standards and best practices. The tool addresses the common challenge of transitioning from experimental notebook code to production-ready applications. It eliminates the manual process of restructuring notebook cells, rewriting code, and creating deployment infrastructure. Users receive a complete project package ready for deployment with proper CI/CD pipelines and documentation. nbdeploy is designed for data scientists, machine learning engineers, and developers who work with Jupyter notebooks and need to deploy their models or analyses to production environments. The tool integrates with GitHub for version control and deployment, making it suitable for teams following modern development workflows.
DR 11
DeClaw is the secure runtime for AI agents that combines sandbox isolation, network controls, AI guardrails and agent audit trail into a single runtime environment. Unlike traditional approaches that require stitching together multiple tools, DeClaw provides an integrated solution where every outbound byte can be configured to be inspected, redacted or blocked, and every agent action is logged. The platform offers isolated sandboxes per agent session, ensuring that each AI agent operates within its own secure environment. It includes AI guardrails that provide data exfiltration protection and prompt injection defense, preventing sensitive information from silently leaving the agent's environment. The system maintains a full agent audit trail, allowing complete visibility into agent actions and behaviors. DeClaw addresses the common problem of securing AI agents in production by eliminating the need to duct-tape multiple tools together. Traditional approaches require combining separate sandbox vendors, guardrail solutions and observability tools, creating potential security gaps. DeClaw fuses these capabilities into one runtime, providing comprehensive security without the complexity of managing multiple integrated systems. The runtime is delivered through a single SDK that developers can integrate into their AI agent deployments. This approach simplifies implementation while ensuring that security controls are built into the foundation of the agent's operating environment rather than added as external layers. The system has achieved the #1 position on the public ComputeSDK sandbox benchmark, demonstrating its effectiveness in providing secure agent execution environments. DeClaw is designed for production deployments where AI agents need to operate securely while maintaining full observability and control. The platform is particularly relevant for organizations deploying AI agents that handle sensitive data or operate in regulated environments where data protection and audit trails are critical requirements.
InvoiceAI is an AI-powered tool designed to automatically scan, extract, and categorize receipts and expenses. Users can snap a photo or upload an invoice, and the AI handles data extraction without manual entry. The platform provides instant expense reports and smart category suggestions. It integrates with accounting workflows to streamline financial processes for users managing receipts and invoices. InvoiceAI achieves 98% accuracy on receipt data extraction and supports over 50 receipt formats across 20 countries. The AI model processes uploaded images to extract relevant expense information automatically. Users simply take a photo of their receipt or upload an invoice file. The AI then scans the document, extracts key data points, and categorizes the expense accordingly. This eliminates the need for manual data entry and reduces time spent on expense management. The tool is perfect for freelancers, small businesses, and finance teams who want to eliminate paperwork and focus on core business activities. It helps reduce the hours typically spent each week on manual receipt data entry. InvoiceAI is built with Supabase and offers seamless integration with existing accounting workflows. The platform is currently offering three months free access to new users.
DishRoll — Roll your week. Eat well. AI-powered weekly meal planner with budget tracking and smart shopping lists.
DR 1
Sync your Withings weigh-ins to Garmin Connect, with body fat, muscle mass, hydration and BMI carried across. Free manual sync, paid auto-sync.
DR 12
Give your AI agent the ability to understand any social media video. Transcripts, metadata, and visual extraction from YouTube, TikTok, Instagram, X, and Facebook.
DR 18
Turn client inputs into reviewed social posts, a publishing queue, and autoposting for SMM teams, consultants, and AI automation agencies.
DR 0
AI-powered legal intelligence platform for GCC and Africa. Search laws, consult AI legal advisors, and manage contracts.