[ How it works ]
The journey of one problem
From a sentence in a chat window to a fixed server, a record you can review, and a fix kept for next time.
[ What it's like ]
Describe it, HelioStack handles it
A conversation that ends in a fixed server: it finds the cause, proves a fix, gets it approved, fixes it and tells you.
[ Changing a server ]
From a fix to a safe change, and back
The same journey for a fix, with the stops that make a change safe: proof, a second person's approval, a backup first, a health check after, and the undo ready. It runs twice: once with a fix that doesn't hold, then with one that works.
[ Proving ]
Tested before it touches
The fix runs first on an isolated test server built from a clean image. Then, where your rules allow, on a disposable copy of the real server, with no network, deleted afterwards.
HelioStack compares before and after. If the fix did anything it didn't say it would, it goes no further.
Not proven. The fix goes no further, and nobody is asked to approve it.
[ Approving ]
Who approves, and what they see
A person named by your rules signs off every new fix before it reaches a real server.
A second person
Named by your rules. Not the person who asked.
Two people
For bigger production changes.
Never the AI
HelioStack can ask for approval. It can never give it.
- The problem and its evidence
- The fix's script, in plain language and in full
- What it will change
- The proof from the test area
- The backup and undo plan
- Who asked
[ Learn ]
Trust is earned
HelioStack only works on its own where it has proved itself, and one failure takes that away.
Running fixes on its own: coming later[ Who does the work ]
One lead agent, specialists behind it
You talk to one assistant. It calls specialists for writing scripts, research, summarising and reviewing, and stays in charge.
Specialists can advise but never act. Work is always checked by a different AI model from the one that wrote it: two different AI model families check each other.
- Writing scriptsAdvises only
- ResearchAdvises only
- SummarisingAdvises only
- ReviewingA different AI model