01
Context before execution
An instruction gets a purpose, sources, a scope and a wanted outcome before an AI worker starts.
product choiceARCH.J01 · why it works this wayfour knowledge pages · explanation, not an agreement
A brain is more than a chat window.
Jarvis connects people, AI assistants and company sources in one controlled working method. Here we explain which choices sit behind that, which boundary was put in on purpose and which evidence is still needed before production.
See how Jarvis works →To the trust centrefour knowledge pages · explanation alongside the product, not an agreement
FIG.K02: What a single session does not shareARCH.J01 · schema
Four things every separate session has to guess at on its own
The paragraph about the coordination layer further down says it in one sentence: separate AI sessions each remember part of the work and do not automatically know the same sources, permissions, versions and decisions. Here that sentence stands as a drawing. FIG.K01 then shows what the coordination layer in between actually does.
separate sessionssources · 2 of the 3 sessionspermissions · 1 of the 3versions · 1 of the 3decisions · 2 of the 3each with part of the work
session Asourcespermissionsversionsdecisions
session Bsourcespermissionsversionsdecisions
session Csourcespermissionsversionsdecisions
The coordination layer holds them once, the same for everybodysourcespermissionsversionsdecisions
# a schema of the problem, not a measurement; which session is missing which part is an exampleFoundation
Six choices that shape the product.
Every choice traces back to overview, traceability or control. Jarvis may speed work up, but it may not obscure where knowledge came from or who approved an action that mattered.
02
Sources stay visible
A memory item without provenance, owner, validity and version is not quietly stored as truth.
read the detail03
The AI account stays the customer's
Claude, ChatGPT, Codex and other providers are connected through the customer's existing subscription. Jarvis does not sell a hidden bundle of tokens.
read the pricing choice04
One boundary per organisation
Customer knowledge, members, connectors and audit data belong inside a demonstrably isolated tenant.
read the data architecture05
People approve impact
External communication, payments, contract impact and lasting changes to knowledge get a human decision step.
read the approval flow06
TheSEO proposes, the customer decides
The overarching TheSEO brain can propose improvements. A client brain never adopts them automatically and organisation wide.
governance checkWhy a separate coordination layer?
Separate AI sessions each remember part of the work. They do not automatically know the same sources, permissions, versions and decisions. So Jarvis forms a coordination layer between the instruction and the various AI providers. That layer selects the relevant context, guards the scope and records what counts as a proposal, a decision or lasting knowledge.
FIG.K01 · the coordination layera schema, not a screenshot
boundary per organisation
The instructionPurpose, sources, scope and wanted outcome, before anything happens.
Jarvis, the coordination layerPicks what is relevant, guards the scope and records what is a proposal, a decision or lasting knowledge. pick contextguard scoperecordask approval
The AI providersConnected through the customer's existing subscription, each with the same picture of the instruction. ClaudeChatGPTCodex
a schema of the structure, not a measurement and not customer data
Why not put everything in one central brain?
A central TheSEO brain can supply methods, product knowledge and approved improvements. Customer data has no business running freely through it. Every organisation gets a boundary of its own with its own members, sources, permissions and history. Sharing happens only for a purpose, with a version, and after the right approval.
Why not charge per prompt?
The value of Jarvis sits in organisation, memory, permissions, administration and control. The AI usage stays with the provider subscriptions a customer picks themselves. That makes a Jarvis plan a matter of capacity and service, not an opaque markup on model calls.
Why can automation not publish on its own?
Behavioural telemetry can produce a change proposal, but it is not permission. Prices, terms, data flows, retention periods and important product promises only change after an authorised owner has assessed the source, the impact, the text and the effective date.
Check it yourself
Open the interactive demoThe interface shows these choices.
Open the working review environment with fictional data and look at sources, memory, permissions, approvals and organisation boundaries side by side.
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