AI Workflow Builder: Describe It, Read Every Step, Then Run It
An AI workflow builder that drafts from plain words, dry-runs every step and saves nothing until you approve. Built around real n8n, Zapier and Make complaints.
9 stories
An AI workflow builder that drafts from plain words, dry-runs every step and saves nothing until you approve. Built around real n8n, Zapier and Make complaints.
We rebuilt Octomind Cloud around one noun: the octo. An agent per workstream, any model, its own folder, and a shell you can open.
An AI agent is a model that uses tools in a loop to pursue a goal. The definition that cuts through the hype — and the four capabilities that make it real.
Most useful work has no API. Browser handoff lets a human sign in and the agent inherit the session — no stored credentials, no password in the model context.
Set up LLM evaluation with a golden dataset, useful metrics, CI gates, regression tests, and production feedback. A practical workflow for engineers.
AI agent security starts with verified behavior. Use 10 checks for prompt injection, permissions, sandboxing, regression tests, and shutdown controls.
MCP connects agents to tools. A2A makes agents talk to each other. ACP connects them to editors. Three protocols, three layers — what each does, and when.
Jev returns typed, calibrated decisions instead of text in 70–500 ms for $0.042/MTok. What it is, how to call it, and which agent judgments it could take over.
Uber burned its 2026 AI coding budget by April. Gartner says agents use 5–30x more tokens than chatbots. Why bills spiral — and how to finish for fewer.
Showing 9 of 9 stories
You're all caught up.
Get the top AI news and tools straight to your inbox every week.
Weekly · AI news from Zentask Blog
Join 15,000+ AI enthusiasts