EXPLAINER · CAPABILITIES

AGI capabilities: unlimited domains a general mind can take on.

AGI capabilities are easy to list and hard to believe, so this page does both carefully. It sets out the domains Zeus AGI works across, how they connect into one job and the tests that keep the list honest. These are examples of a general intelligence at work, not the boundary of what it can be asked to do.

AGI capabilities, several light threads converging into one point.

WHAT COUNTS

What AGI capabilities means here

A capability list is evidence, not a boundary. Unlimited domains show that one intelligence holds across very different kinds of work; they do not mean the twenty-first is impossible. Skills and MCP connections extend the reach, which is why the honest framing is examples of a general intelligence rather than a fixed feature matrix.

What makes a domain an AGI capability rather than a narrow feature is the loop around it. The intelligence takes a goal, plans the route, acts in real systems, verifies the result and reports. The same loop runs whether the work is a website, a server or a report, and that sameness is the point. The row of domains is the surface; the loop is the claim.

Read the list with the six tests in mind: generality, autonomy, real-world operation, self-verification, memory and orchestration. Any entry that cannot be checked against those tests is worth less than one that can.

THE DOMAINS

The unlimited domains of AGI capability

Websites

Plan, build, verify and publish real sites with bespoke design, not a template with copy dropped in.

CMS

Build and fix pages and blocks on live installs through Agent Bridge: magic login, site status, cache purge.

SEO

Research intent, audit pages, write the fixes and implement them, then show the checks and what changed.

Code and terminal

Work in real repositories: edit, run commands and tests, read failures and verify before reporting.

Content

Long-form pages, product copy and briefs in your voice, edited to the brief rather than generated in bulk.

Image and video

Generate and refine stills and clips, prepare formats for the web and place them where the page needs them.

Research

Find sources, check claims, structure a brief with its evidence carried through to the next step.

Data and reporting

Clean, analyse and chart data, then write the report with the working visible and traceable.

Documents

Read, restructure and produce documents and spreadsheets for real use, in the formats your work needs.

Automation

Run scheduled and recurring work without prompting: checks, refreshes, reports and maintenance.

Browser and web tasks

Operate a real browser: forms, dashboards, research and the online tasks that have no API.

Servers and systems

Work over SSH and permitted access: inspect, configure, fix and verify systems rather than guessing.

Devices

Handle device and machine-adjacent work within the access you grant, with records of what changed.

Business operations

Carry the operational work around a business: planning, reporting, processes and recurring tasks.

Events

Plan and deliver the work around an event, from pages and copy to schedules, assets and the post-event report.

Medical and lab machines

Support the digital and device work around care and research, with qualified humans making the decisions.

Product invention

Take an idea through research, prototype, build and test, including things that do not exist on the market yet.

Game repair

Diagnose and fix broken game installs, saves and loaders as one of the domain-specific repair jobs.

Skills and MCP

Extend the intelligence on request: a saved skill or an MCP connection turns a new domain into a reachable one.

Agent Teams

Split a large goal across specialist agents, run workstreams in parallel and return one accountable report.

HOW THEY CONNECT

How AGI capabilities connect across domains

The list matters most where entries touch. A market report links research to data to documents to content. A site launch runs from research through copy, design, code, CMS and a live check. A maintenance contract runs browser checks, SEO audits, code fixes and reports on a schedule.

Because the intelligence is one system, the output of one domain becomes the input of the next without a human copying it across. That is what removes the integration tax: the re-explaining, the reformatting and the hand-offs that a stack of narrow products pushes onto the person using them. Most of the value sits in those joins, not in the list.

It also means a job can start in one domain and end in another, which is how real work arrives. You do not usually need a report and then, separately, a page. You need the report to become the page, and the page to become a live site with the evidence attached.

THE SIX TESTS

Why these AGI capabilities are not a marketing list

Each domain on the list is checked against the same six tests. Generality asks whether one intelligence holds across the domains rather than a separate product per task. Autonomy asks whether a goal becomes a verified result without step-by-step prompting. Real-world operation asks whether something outside the interface changed: a file, a deployment, a live page.

Self-verification asks whether the system checked its own output and reported what failed. Memory asks whether the second job starts from what the first learned. Orchestration asks whether a large goal can be split across agents, run in parallel and merged into one accountable report.

A domain that cannot answer those questions is a feature with a marketing name. The point of listing twenty is not to impress with the count; it is to give a reader enough surface area to test the claim. Pick any two adjacent domains and ask for one job that crosses them. The answer is the AGI capabilities claim, demonstrated or not. It is also the quickest way to compare two products claiming the same list: ask each to show the join between two domains, not the list itself.

EXAMPLES, NOT LIMITS

A fixed list versus AGI capabilities in practice

The difference is not the number of entries. It is what happens when the work does not fit an entry.

A fixed capability list

AGI capabilities in practice

TEST IT

How to test AGI capabilities on your own work

01

Pick a job that spans two domains

Research that becomes a page, a page that becomes a deployment, data that becomes a report. A single-domain task tests a feature; a spanning task tests whether the intelligence holds. A joint is a better test than a checklist, and a cross-domain job is the smallest useful one.

02

Read the plan for the route

The plan shows which domains the system intends to use and in what order. If it plans a route you would not have chosen, that is useful information about how it reasons.

03

Inspect the evidence at the join

Look at where one domain hands to the next: the research note that shaped the copy, the build that matched the design, the check on the live page. The join is where a general intelligence proves itself.

FAQ

Questions, answered.

Short, direct answers. If yours is missing, the full FAQ page has more.

The kinds of work one general intelligence can take from goal to verified result: websites, CMS, SEO, code, content, media, research, data, documents, automation, servers, devices and more. What makes them AGI capabilities is the shared loop of planning, acting, verifying and reporting.

No, and the page says so deliberately. Unlimited domains are evidence of generality, not a boundary. Skills and MCP connections extend the intelligence into new domains on request, so a capability not on the list may still be reachable with the right access and tooling.

The one attached to work that currently takes several products and a person to stitch together. For most businesses that is a cross-domain job such as a site launch or a reporting cycle, because a single-domain task will not show you whether generality matters.

Yes, and that is the point of a general intelligence. A single run can research, write, build, deploy, check and report, with context carried between the steps. The output of one domain becomes the input of the next without a person copying it across.

A skill is a reusable procedure the agent learns and keeps, so a solved problem becomes repeatable. An MCP connection links it to an external system through a standard protocol. Together they make the capability list extensible rather than fixed.

Access, physical reality and human responsibility. It cannot reach systems it has no permission to use, it acts through the machine rather than a body, and it does not make legal, medical or financial judgements. It can also be wrong, which is why verification and approvals exist.

Give the system a goal with an inspectable result and read the evidence rather than the summary. Check what was planned, what was touched, what was verified and what failed. The capability list is worth exactly as much as that test shows.

A feature list says what a product can do; AGI capabilities describe what one system can carry from goal to verified result. The difference shows at the joins: context moving from research to copy to build, verification after deployment, one report at the end. A feature list can be long and still never cross a boundary.

BEYOND THIS

This is one example. The next domain is a request away.

Zeus AGI acquires the skills it needs and connects MCP servers, so the scope is not a fixed feature list. If the work is digital or device based, it is in scope.

Twenty examples. One intelligence.

The capability list is where the proof starts, not where the scope ends. Start with one domain that matters to your work and watch the loop close.