pythonrelevance-aiagentsautomationafter-workstart-using
How to Start Using Relevance AI
Invent one research or ops agent on Relevance AI, give it a single tool, and skip the multi-agent workforce canvas on night one.
Academy notes
Articles and updates from SoloQuant Academy.
Tag: automation
Invent one research or ops agent on Relevance AI, give it a single tool, and skip the multi-agent workforce canvas on night one.
Build one Make scenario with Make AI Agent (New), one tool, and a manual trigger—then compare Zapier and n8n for after-work projects.
Create one unpublished Dust agent on your own notes, test in Preview, and keep company Slack disconnected on night one.
Open zapier.com/agents, build one narrow SaaS agent with a single app, test, then publish only if the run is boring.
Install Langflow, build one visual LangChain-style flow, and know when to prefer it over Flowise after work.
Run Flowise, drag a tiny LLM/agent flow, and learn visual agent building for after-work beginners.
Install or open n8n, build one AI Agent workflow for reports or alerts, and automate beyond chat after work.
Spin up Dify, build one low-code LLM app or agent, and ship an internal tool after work without heavy infra.
Install OpenClaw from openclaw.ai, connect one chat channel, and run a personal coding/agent harness you can message after work.