
AI Workflow Architect
Find what to automate in your job, and how to do it
AI Workflow Architect launched on May 21, 2026 with 6 votes, #1,742 of 20,536 launches that month and more than 75% of that year's launches.
What it does
Most people know AI can save them time, but don't know where to start. AI Workflow Architect analyses your job title, industry, and tools to find where you're losing time. It then generates a step-by-step automation blueprint with ROI calculations showing hours saved and money recovered. Role-specific, not generic. Built on Google Cloud with Firebase Auth. Real infrastructure, real
Does a similar job
all alternatives →
n8n AI Workflow Builder2025 · docs.n8n.io · ▲691Build AI automations & agents using natural language
Taskade AI Workflows2023 · taskade.com · ▲513Create and customize any project workflow with Generative AI


Construct ComputerAug 2026 · construct.computer · ▲378We are building Construct Computer a cloud OS where autonomous AI agents ("Constructs") live and do your day to day work. You can observe them in real-time through a desktop OS frontend. The idea is agent-native infrastructure: instead of agents being API calls, they're persistent processes with their own compute, storage, and network identity. With integrations with a vast ecosystem of business tools, the Construct Agent can do anything from scheduling meetings, preparing documents, to deep researching the web, join meetings, and automate long running business operations with minimal human…

More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 25d ago · stillwet.art

FastRouter.ai▲364Route requests to the right LLM for cost, latency & quality
AI · 27d ago · fastrouter.ai
Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com