AI-workflows.io
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AI-workflows.io
CloudShellAI-workflows.io's answer
Three reasons. First, AI agents replace the logic layer entirely. Where Zapier needs 15 steps with filters and branches, AI Workflows needs 3 nodes: trigger, agent, output. Second, the knowledge base is native. Upload your docs and the agent references them on every run, no Pinecone or vector database setup needed. Third, you can watch the AI think. Reasoning traces show exactly why an agent made each decision, so you can debug and improve instead of guessing. All of this with no code, starting at โฌ59 per month.
AI-workflows.io's answer
Most automation tools treat AI as just another step in a rigid if-then chain. AI Workflows is different because the AI agent IS the orchestrator. Instead of building 15-step workflows with branches and filters, you connect a trigger to an agent and let it read context, make decisions, and execute actions autonomously. The visual canvas makes complex AI orchestration feel like dragging blocks on a whiteboard. Built-in knowledge base (RAG), agent memory, and reasoning traces mean your workflows actually understand your business, not just move data between apps.
AI-workflows.io's answer
Founders, small business operators, marketing teams, and revenue operations leaders at companies with 1 to 50 people. They are tech-savvy enough to have tried Zapier or Make but frustrated by the limits of rules-based automation. They want AI that understands their business context and makes judgment calls, not just moves data between apps. Typically running sales, support, content, or back-office operations and looking to do more with a lean team.
AI-workflows.io's answer
We kept seeing the same pattern: teams bolting ChatGPT onto their Zapier workflows and hoping for the best. It worked for simple tasks but fell apart the moment they needed AI to actually understand context, reference company docs, or make decisions across multiple steps. So we built the platform we wished existed. A visual canvas where AI agents are first-class citizens, not afterthoughts. Where you can upload your knowledge base, watch agents reason in real-time, and deploy workflows that genuinely think. We are currently in early access, building in public with our founding members shaping the roadmap.
AI-workflows.io's answer
1) Next.js (React) for the web application 2) React Flow for the visual workflow canvas 3) Supabase (PostgreSQL) for the database and authentication 4) OpenAI, Google Gemini, and Anthropic Claude for AI model providers 5) Vercel for hosting and edge delivery 6) Stripe for payments and billing 7) Resend for transactional email 8) Upstash Redis for rate limiting and caching 9) TypeScript end to end
AI-workflows.io's answer
We are currently in early access and building our founding member base. We don't publicly disclose individual customer names at this stage, but our early users include:
Solo founders automating lead qualification and outreach Marketing agencies repurposing content across channels E-commerce operators managing reviews and inventory Small law firms extracting clauses and generating NDAs Recruiting teams screening resumes and scheduling interviews Operations managers turning meeting notes into action items
Based on our record, CloudShell seems to be more popular. It has been mentiond 13 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The Google Cloud Shell API empowers organizations to automate cloud operations, accelerate software delivery, and improve efficiency. By providing a programmatic interface for managing Cloud Shell environments, the API unlocks new possibilities for developers, SREs, and data teams. Explore the official documentation and try the hands-on lab to experience the benefits of the Cloud Shell API firsthand. ... - Source: dev.to / about 1 year ago
Command-line (gcloud) -- Those who prefer working in a terminal can enable APIs with a single command in the Cloud Shell or locally on your computer if you installed the Cloud SDK which includes the gcloud command-line tool (CLI) and initialized its use. If this is you, issue this command to enable the API: gcloud services enable youtube.googleapis.com Confirm all the APIs you've enabled with this command:... - Source: dev.to / almost 2 years ago
Gcloud/command-line - Finally, for those more inclined to using the command-line, you can enable APIs with a single command in the Cloud Shell or locally on your computer if you installed the Cloud SDK (which includes the gcloud command-line tool [CLI]) and initialized its use. If this is you, issue the following command to enable all three APIs: gcloud services enable geocoding-backend.googleapis.com... - Source: dev.to / about 2 years ago
While you might find that using the Google Cloud online console or Cloud Shell environment meets your occasional needs, for maximum developer efficiency you will want to install the Google Cloud CLI (gcloud) on your own system where you already have your favorite editor or IDE and git set up. - Source: dev.to / almost 4 years ago
Here is the product https://cloud.google.com/shell It has a quick start guide and docs. - Source: Hacker News / almost 4 years ago
Make.com - Tool for workflow automation (Former Integromat)
GitHub Codespaces - GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.
CodeTasty - CodeTasty is a programming platform for developers in the cloud.
n8n.io - Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.
Glitch - Glitch is the friendly community where everyone builds the web. Simple, powerful interface for creating web apps.