Why AOS · Compare your options
Personal AI tools are good for one person. Coding agents are good for one repository. AOS.work is where the whole company works with AI: shared knowledge, versioned standards, sandboxed runs and a record of everything.
01Personal AI tool
One person, one chat. Nothing is shared.
02Coding agent
fix the flaky billing-sync test
Lives in the repository, on the laptop.
03AOS.work
Shared, governed and on record.
Three options
The honest version: personal tools and coding agents are excellent at what they do. The gap is everything that has to be shared, repeated, scheduled and accounted for.
Personal AI tools
Great for individuals.
A chat window with a strong model. Perfect for a draft, a summary or a quick answer that only you need.
- Best at
- One person and their own work.
- Strong at
- Zero set-up, instant answers
- Drafts, summaries and personal research
- Works with whatever you paste in
Where it stops
Nothing is shared. No common knowledge, no team standard, no record of what was done or with which data.
Coding agents
Keep them for development.
Agents that live in a repository, read and edit code, run tests and open pull requests. Developers should keep using them.
- Best at
- Developers working in a codebase.
- Strong at
- Deep in the code, tests and terminal
- Long, complex engineering tasks
- First to try the newest models
Where it stops
Built around a repo and a laptop. Not where finance, sales, HR or operations work, and not where the company's knowledge lives.
AOS.work
The workplace around both.
The AI Agent Workplace: people, agents and apps working together under governance. Knowledge in Library and Base, standards as versioned Skills and Works, every run sandboxed and recorded.
- Best at
- The whole company, every role.
- Strong at
- Shared knowledge and versioned standards
- Cloud sandboxes, on a schedule when needed
- Audit, allowed models and credential handling built in
With coding agents
Developers keep their agents. What they build becomes a released Skill that everyone can use.
Side by side
Eleven things a company needs from AI at work, and how each option handles them.
Compare AOS.work with
Shared knowledge
Personal AI tools
Only what you paste inAOS.work
Library and Base as the source of truthTeam standards
Personal AI tools
Per person, in private promptsAOS.work
Versioned Skills and Works, released to rolesMemory
Personal AI tools
Per account, hard to inspectAOS.work
Memory revisions with history and restoreVisibility & audit
Personal AI tools
NoneAOS.work
Run records, Task Outputs and usage overviewExecution environment
Personal AI tools
The vendor's chatAOS.work
Cloud sandboxes, cancellable, around the clockScheduling
Personal AI tools
NoneAOS.work
Scheduled Tasks with Run Records and InboxApps & data access
Personal AI tools
Copy and pasteAOS.work
Connectors, Library, Base and apps behind one entryCredentials handling
Personal AI tools
Pasted into the chatAOS.work
Secure forms, masked fields, never in chat or MemoryModel choice & cost control
Personal AI tools
Whatever the plan includesAOS.work
Allowed models per role, Credits Plans per periodRoll-out & training
Personal AI tools
Everyone on their ownAOS.work
Explore releases, AOS Academy, delivery teamBest for
Personal AI tools
IndividualsAOS.work
The whole company
Personal AI tools and coding agents are described at their best. Both stay useful next to AOS.work.
When to use what
Six situations we hear every week, and the honest answer for each.
01
A quick draft or a summary that only you will read.
Fast and private. Nothing needs to be shared or kept.
02
Changing code in a repository, with tests and a pull request.
The agent belongs next to the code. Keep the one your developers like.
03
A team must produce the same result every time.
A versioned Skill released to the role, not a prompt in someone's notes.
04
The answer has to come from company files and data.
Library and Base are the source of truth, and the run shows what it read.
05
Work that runs on a schedule, with an accountable owner.
Scheduled Tasks, Run Records and Task Outputs that trace back to the request.
06
Leadership wants to know what the agents actually did.
Run records and usage overview across teams, with Shieldon audit on every model call.
They work together
A Skill written with a coding agent in a repository becomes an immutable version in Resource Hub and is released through Explore to the roles that need it. Underneath both sides sit the same two layers.
Developer · coding agent
update the bug-triage skill: derive severity from the customer tier
Company · AOS.work
Basil Harness
Every run is a sandboxed, traceable, cancellable unit of work.
Shieldon
Policy, security and audit on every model call, from either side.
01
Build where developers build
Skills and Works come from Git, an upload or a blank draft. A coding agent is a fine way to write them.
02
Release once, to roles
Resource Hub validates the draft and publishes an immutable version. Explore Management releases it to the roles that need it.
03
Run where the company runs
Everyone else uses the Skill from AOS.work: same sandbox, same audit, same allowed models.
FAQ
No. Developers keep the agents they are productive with. AOS.work is where the rest of the company works, and where a Skill built in a repository becomes a released version everyone can use.
Book a demo and we will set up a workspace with your knowledge, your standards and your guardrails.
Built on Basil Harness · Protected by Shieldon