QANTERIS AUTONOMY / AI Operations

Add verifiable AI assistance to your StrategyQuant workflow

Use your own AI to assist with calculations and repeatable tasks. In QANTERIS AUTONOMY you configure the tools, check their outputs and retain control over thresholds and approvals.

Access and availability Your learning path

01Connect the tools
02Check sources and numbers
03Run repeatable steps
04Document approvals

What you will learn

Set up the working environment

Connect Claude Code, the curriculum’s reference client, to the reference knowledge base and configure the supplied tools.

Check outputs

Check sources and versions, recalculate numbers and compare the assistance with a manually verified reference case.

Run repeatable tasks

Use the toolkit for measurement runs, analysis and replenishment, with a traceable record of each required step.

Retain responsibility

You retain thresholds, acceptance and rejection decisions, shutdown decisions and approvals. Course agents work in confirmation mode.

What you need to know

You have completed ARCHITECT and understand the manual strategy and portfolio workflow.
The current curriculum uses Claude Code as its reference client.
You use your own AI and pay for any required subscription separately.

QANTERIS ARCHITECT →

Your approval remains part of the workflow.

The assistant can prepare calculations and repeatable tasks.
Check supporting evidence before using outputs and decide on thresholds and interventions yourself.
Technical compatibility is defined for the environment documented in the course.

Your learning path

Understand Claude Code, MCP and source checks

Recognise fabricated answers and check field names and values against a source.
Configure Claude Code, permissions, working rules and the reference knowledge base through MCP.
Distinguish local work from data sent to the model provider.

Recalculate and compare with AI assistance

Have the assistant prepare calculations and test records from FOUNDRY and ARCHITECT.
Recalculate numbers yourself and document discrepancies.
Keep control of thresholds, acceptance, rejection and shutdown decisions.

Access StrategyQuant X under controlled conditions

Explore Remote Access and the limits of the built-in MCP server.
Use the REST interface through the toolkit and log changes.
Understand the optional remote path to a VPS installation.

Build your own knowledge collection with evidence

Define source quality, version references and a clear file structure.
Collect your own project sheets, cost measurements, journals and logs.
Separate the AI query from your check of the cited passage.

Run repeatable workflows with confirmation

Set up the toolkit, run a measurement cycle and set thresholds yourself.
Log startup, monitoring, analysis and replenishment.
Handle failures and restarts with documented human confirmations.

How you learn

STARTER demonstrates the workflow in videos. The paid courses combine recorded video lessons with learning materials and self-checks. You learn at your own pace. Individual coaching and live classes are outside the course scope.

The software interfaces are in English. Explanatory text and course information on this page are in English. See Access and availability for the release status.

QANTERIS AUTONOMY

Access and availability

Planned: late November 2026

549 USD

Modules E1 to E5, 18 blocks

Founder price until 31 December 2026, 241 USD below list price

Pre-sale from launch

In every course: 6 months of access to the QANTERIS knowledge base for your own AI, as long as it supports MCP. MCP is an open standard that lets an AI access external knowledge sources. We include scripts and prompts; you pay for the AI and any plan it requires with its provider. Plus the community, free with no time limit.

All prices are final prices in US dollars, including applicable taxes. Purchase: one payment, no installments. The founder price applies until 31 December 2026, after that the list price. The community is free and stays free, course or no course. With a purchase, access to the knowledge base simply expires after six months; nothing renews silently. If you want to keep it, you book actively: 19 USD a month, cancellable monthly. The subscription includes it. You pay for your own AI and any plan it requires with its provider.

You can buy QANTERIS FOUNDRY, QANTERIS ARCHITECT, QANTERIS AUTONOMY and the complete package from launch, before everything is released. The dates on the cards are planned dates. If a course bought on its own is released later than 4 weeks after the stated date, you get the full price back on request. For the complete package, you get the full price back on request if QANTERIS FOUNDRY is delayed in this way. If QANTERIS ARCHITECT or QANTERIS AUTONOMY is released later than 4 weeks after its date, you get that course’s share of the complete package back on request, calculated from the individual prices: 700 USD for QANTERIS ARCHITECT, 432 USD for QANTERIS AUTONOMY.

Frequently asked questions

Can I take AUTONOMY without FOUNDRY and ARCHITECT?

AUTONOMY requires ARCHITECT. You need to understand the strategy and portfolio workflow to check the assistant’s outputs yourself.

Which AI does the course use?

Claude Code is the curriculum’s reference client. The reference knowledge base connects through MCP. Other AI products are not generally promised as equivalent course paths.

What is MCP?

MCP is an interface that lets an AI client access connected tools and knowledge sources. You still check the source, version and result.

Does AI decide which strategies or risks to accept?

You retain thresholds, acceptance, rejection and shutdown decisions. Agents prepare steps and work in confirmation mode.

Is an AI subscription included?

No. You use your own AI and pay its provider separately for any required subscription.

How do I recognise incorrect AI answers?

Check the cited passage and version, recalculate numbers and compare with a manually verified reference case. Querying and verification are separate steps.

Your next step

Not yet at your first testing workflow? FOUNDRY establishes the software and testing foundations on which ARCHITECT and AUTONOMY build.

QANTERIS FOUNDRY →