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Steadymade AI OS

A system that understands, coordinates, and delivers your work.

Steadymade AI OS connects knowledge, models, workflows, and control in one operating system. From the first idea to the finished result.

Explore the system

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One System. One Standard. Every Result Reviewed.

01Orchestration

You describe what you need. Danny coordinates the rest.

Danny understands your request, selects the right specialists, and coordinates the entire process. Results are reviewed before they reach you.

  • One point of contact

    One entry point replaces context-switching across tools.

  • The right specialists

    Strategy, knowledge, proposals, review. Danny chooses the right chain.

  • Quality at the end

    Results are reviewed and synthesized before they reach you.

Agent ChainDanny→Knowledge→Proposal→Review
Danny orchestrates the specialists, from request to result
02Work areas

Six work areas, one system.

Offers, content, documents, visuals, planning, and governance run through the same agents, the same standards, and the same review process.

Offers & Proposals

Professional offers and proposals, fast, structured, and convincing.

Marketing & Content

Campaign-ready content from strategy through social media and newsletters.

Documents

Reports, analyses, and presentations, clearly structured and to the point.

Image production

Visuals and graphics designed for your brand and message.

Planning & Meetings

Agendas, notes, and follow-ups, prepared, tracked, done.

Security & Governance

Your data. Your rules. Secure, compliant, and fully controllable.

Example workflowDevelop idea→Structure plan→Content & assets→Align→Deliver result
Workflow chain: Idea → Plan → Create → Collaborate → Result
03Core benefits

Five core benefits at a glance.

  • One central access point

    One entry for everyone. Access to data, models, and functions, secure, structured, and role-based.

  • Open knowledge base

    Your knowledge stays your advantage. Connected, findable, and usable across teams and systems.

  • Reliable workflows

    Standardized processes with clear rules and controls. Consistent in quality and outcome.

  • Flexible model choice

    Models stay freely selectable, integrable, and replaceable, today and tomorrow.

  • A system that grows with you

    Scales with your requirements. New teams, data, and use cases integrate quickly.

System layers: Users & roles · Knowledge & context · Workflows · Models
04Model independence

The bottom layer stays replaceable.

Steadymade AI OS is model-independent. Depending on the task, security requirements, and infrastructure, you connect different LLMs, from OpenAI, Claude, and Gemini to local models on your own hardware.

  • Open model choice

    Use the model that fits each requirement.

  • Local models

    Connect local or self-hosted LLMs when data ownership or infrastructure require it.

  • Consistent work logic

    Agents, skills, and workflows stay the same even when the model underneath changes.

  • Future-ready

    New providers and model generations plug into the same adapter layer.

Example model providersOpenAIClaudeGeminiLocal LLMOpen Source
Model layer: AI OS above OpenAI, Claude, Gemini, local LLMs, and open source
05Control

Structured I/O & guardrails.

The system keeps inputs and outputs clearly structured. Guardrails prevent uncontrolled behavior and help models deliver reliable formats and traceable results.

  • Structured inputs

    Briefings, data, and context follow clear formats.

  • Controlled processing

    Rules, permissions, and review steps steer the flow.

  • Reliable outputs

    Results are delivered in defined formats.

  • Guardrails

    Boundaries limit behavior and reduce errors.

Example safeguardsSchemaValidationReviewApproval
Raw inputs → rules, permissions, validation → structured outputs
06Variants

Three variants. One system.

AI OS comes in three variants for different audiences and stages of collaboration. You decide how you start and how you grow.

Single UserCommunity version

An app for local installation on your own computer. Ideal for individuals working with their own knowledge, local control, and personal workflows.

Team UserEnterprise

A version with shared databases, server deployment, and advanced collaboration features. For teams working together with roles, permissions, and shared workflows.

CollaboratorPartner

For partners with active access to the code repository. Custom components, skills, and extensions can be contributed and developed for shared projects.

Growth without switching systems

From a local start to a shared platform: knowledge, skills, and ways of working stay connected.

Illustration coming soon
Three variants around one core: Single User, Team User, Collaborator
07Memory

Automated memory.

AI OS continuously writes a memory of your chats in the background. Agents can access prior knowledge across contexts. You don’t repeat yourself.

  • Continuity across chats

    Earlier conversations stay usable.

  • Cross-context access

    Agents use relevant knowledge in new tasks as well.

  • Less repetition

    Users don’t need to re-explain preferences and background every time.

  • Controlled memory

    Stored information stays traceable and structured.

Examples of stored memoryDecisionsPreferencesContextStandards
Illustration coming soon
Memory core: history, knowledge, preferences, and insights come together
08Integrations

From a simple CSV to an enterprise system.

AI OS adapts to the complexity of your system landscape. A CSV file is enough for a quick start. Adapters let you integrate systems securely and efficiently, from CRM tools to enterprise platforms.

  • Start simply

    For simple setups, the system can use files like CSV directly as a data source.

  • Adapter layer

    Adapters connect AI OS to external services, data sources, and business systems.

  • Enterprise connections

    Complex environments can connect to systems like Salesforce or Microsoft 365.

  • Grows with you

    Integration logic scales with the customer’s maturity, one adapter at a time.

Example connectionsCSVCRMSalesforceMicrosoft 365Custom APIs
Adapter layer: from CSV through Salesforce and Microsoft 365 to enterprise systems
09Architecture principle

Reasoning and execution stay separate.

Steadymade AI OS uses a strong model primarily for understanding, planning, and orchestration. Actual execution is delegated to smaller, specialized sub-agents that complete tasks quickly, reliably, and cost-efficiently.

  • Strong model for reasoning

    A large model handles understanding, framing, and deciding which steps are needed.

  • Delegation to sub-agents

    Execution is handed to specialized, more affordable agents that handle clearly scoped tasks.

  • Better cost control

    Compute-heavy models are used only where their strength is truly needed.

  • Scalable in daily use

    Even with many daily tasks, the system stays efficient, predictable, and capable.

Principle in practiceUnderstand→Plan→Delegate→Execute

Quality on top, efficiency underneath.

Reasoning orchestrator delegates to specialized execution agents

One System. One Standard. Every Result Reviewed.

See in a demo how Steadymade AI OS brings knowledge, models, and workflows together in your organization, controlled, traceable, and ready to grow.

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