Stack32 turns a plain-language brief into a working AI agent you can chat with, improve and publish — without nodes, code or a canvas.
Stack32 is a web product for creating and using AI agents in everyday language. You describe a job — research, answer from your docs, draft outreach, summarize notes — and Stack32 assembles an agent that can do that work. You stay in a conversation: create in Build, try in Live, inspect in Structure. There is no workflow editor and no need to pick tools yourself.
Creation, use and clarity live side by side so you never lose the thread.
01
Chat with the Builder like you brief a teammate. Stack32 proposes a first version of your agent, runs a smoke test, and shows progress while it works. Ask for changes — stricter rules, a different tone, a new output format — and it applies them, retests and keeps history.
02
Open a dedicated workspace and talk to your agent as a user would. See steps unfold while it researches, reads sources or drafts. Live is where you validate that the agent actually helps before you rely on it day to day.
03
Read a clear breakdown of the agent: goal, capabilities, rules and expected output — in human language, not JSON. Structure is how you (and your team) understand what the agent is allowed to do without opening a technical panel.
The essentials to go from idea to a trustworthy agent you can improve over time.
Create and refine agents by chatting. No nodes, no YAML, no prompt engineering degree required.
Each meaningful version is checked before you lean on it, so surprises show up early — not in production conversations.
When something is off, Stack32 surfaces the issue and can propose a fix you confirm in one step.
A focused chat where your agent works with visible progress, so you always know what it is doing.
Goal, tools, rules and output format explained plainly — transparency without technical noise.
Every change can become a new version. Publish when ready; keep earlier versions as a safety net.
Connect documents so answers stay grounded in your content, with citations when sources are used.
Work in the language you prefer. More locales can be added without changing how agents are built.
Start from a real task, not a blank canvas. One sentence is usually enough.
Research companies, qualify leads and draft personalized emails that sound like your voice.
Track public pages and summarize what actually changed — with sources you can verify.
Answer questions from your files instead of hunting through folders and PDFs.
Turn rough notes, bullets or meeting scribbles into structured reports and action lists.
Enough depth to trust the product — without exposing internals you do not need.
You decide what to build, what to change and when to publish. Stack32 proposes; you confirm.
Sign-in and subscriptions are handled with standard industry providers. Payment is processed securely via Whop.
Documents you attach are used to ground answers. We do not ask you to configure infrastructure or API keys to get started.
Describe an agent in one sentence and see the Build → Live → Structure loop for yourself.