Brownsmith Dynamics

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Brownsmith Dynamics Courses

Technical Decisions for Founders.

Software decisions often arrive disguised as technical details.

A developer may recommend a particular database. An agency may propose a separate frontend and backend. An AI coding agent may produce a working interface without explaining how the product protects data, handles errors, or survives deployment.

The founder still owns the consequences of these decisions.

This course bundle explains the terminology, trade-offs, warning signs, and questions required to make informed choices. It is designed for founders working with technical consultants, development teams, agencies, freelancers, and AI coding tools.

You will learn enough to direct the work, review the reasoning, and decide when a specialist is required. You are not expected to implement every decision yourself.

Think of each course as a skill for a founder: a bounded set of context, questions, and checks that can be retrieved when a real decision appears. The objective is practical judgement, not a substitute for an engineering degree.

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Learn the decision layer behind product design, frontend development, backend systems, databases, infrastructure, AI-assisted development, testing, security, and operations.

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Building an AI-Native Business

A business-level course on structured knowledge, models, agents, tools, MCP, permissions, legacy systems, and an incremental AI adoption roadmap. No advanced programming background is required.

An AI-native business connects trustworthy knowledge, controlled tools, permissions, workflows, and accountable people around the work the organisation already performs.

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The course bundle

Choose the Decision in Front of You.

Each overview below gives a direct explanation of the subject, the decisions it supports, and the people it is designed for. Open the course when that knowledge becomes relevant to a live product, workflow, or implementation proposal.

10 published lessons101 min published learning path

MVP Building for Founders

Direct Answer

Turn an idea into a product that can be built, tested, and evaluated without allowing the first version to become the entire company.

An MVP is not a smaller version of every future feature. It is the smallest product that can test a meaningful assumption.

Decisions This Course Supports

  • Define an MVP around a meaningful assumption and core workflow.
  • Separate features, requirements, acceptance criteria, and deferred scope.
  • Recognise when a first version needs stronger production safeguards.

Who it is for: Non-technical founders working with consultants, developers, agencies, freelancers, or AI coding agents.

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10 published lessons99 min published learning path

Product and Interface Design

Direct Answer

Design an MVP that users can understand, navigate, and trust before spending time polishing its visual details.

Product design determines what the user can do, where they do it, and how the product responds.

Decisions This Course Supports

  • Distinguish product structure from visual treatment.
  • Review user journeys, hierarchy, forms, navigation, and interface states.
  • Identify responsive and accessibility risks in an MVP interface.

Who it is for: Non-technical founders working with consultants, developers, agencies, freelancers, or AI coding agents.

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10 published lessons99 min published learning path

Frontend for Founders

Direct Answer

Understand the part of the product users see, the decisions that shape it, and the warning signs of a fragile implementation.

The frontend is the part of an application that runs in or presents itself through the user’s browser or device.

Decisions This Course Supports

  • Explain the frontend’s role beyond visual presentation.
  • Compare pages, layouts, components, client state, and server data.
  • Ask proportionate questions about rendering, performance, and compatibility.

Who it is for: Non-technical founders working with consultants, developers, agencies, freelancers, or AI coding agents.

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11 published lessons109 min published learning path

Backend for Founders

Direct Answer

Understand how an application processes rules, protects actions, communicates with services, and responds when something fails.

The backend is where an application applies business rules, accesses data, checks permissions, and communicates with external services.

Decisions This Course Supports

  • Explain how the backend applies product rules and permissions.
  • Review API, authentication, integration, and background-work decisions.
  • Identify missing abuse protection, logs, audit trails, and failure handling.

Who it is for: Non-technical founders working with consultants, developers, agencies, freelancers, or AI coding agents.

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11 published lessons109 min published learning path

Databases for Founders

Direct Answer

Learn how product data is structured, protected, changed, exported, and recovered.

A database is the product’s organised memory.

Decisions This Course Supports

  • Discuss database structure, relationships, validation, and integrity.
  • Compare SQL and NoSQL choices in the context of a product.
  • Ask how migrations, backups, recovery, export, retention, and deletion work.

Who it is for: Non-technical founders working with consultants, developers, agencies, freelancers, or AI coding agents.

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15 published lessons153 min published learning path

Infrastructure and Deployment

Direct Answer

Understand where software runs, how it reaches users, what it costs, and who is responsible when it stops working.

Infrastructure includes the services that run, store, deliver, monitor, and recover a product.

Decisions This Course Supports

  • Explain what infrastructure work remains after an application is built.
  • Compare managed platforms, shared hosting, VPS, and dedicated resources.
  • Ask who owns deployment, monitoring, backups, updates, and recovery.

Who it is for: Non-technical founders working with consultants, developers, agencies, freelancers, or AI coding agents.

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16 published lessons160 min published learning path

AI-Assisted Product Building

Direct Answer

Use conversational AI, vibe-coding platforms, coding agents, skills, and agent systems as parts of a controlled product-development workflow.

AI can accelerate ideation, specification, interface creation, coding, testing, and documentation.

Decisions This Course Supports

  • Assign ideation, specification, implementation, and testing to appropriate tools.
  • Improve prompts with context, constraints, examples, and acceptance criteria.
  • Review agent skills, permissions, autonomy, and recovery paths.

Who it is for: Non-technical founders working with consultants, developers, agencies, freelancers, or AI coding agents.

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15 published lessons153 min published learning path

Testing and Quality Assurance

Direct Answer

Test interfaces, APIs, workflows, permissions, limits, and failure cases before users discover the problems.

Testing checks whether the product behaves as intended under normal, incorrect, and unexpected conditions.

Decisions This Course Supports

  • Test visible interfaces, API communication, and business rules as separate layers.
  • Design checks for invalid inputs, permissions, duplicate actions, and failure states.
  • Follow complete user workflows rather than isolated screens.

Who it is for: Non-technical founders working with consultants, developers, agencies, freelancers, or AI coding agents.

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13 published lessons129 min published learning path

Security, Ownership, and Operations

Direct Answer

Protect the product, retain control of critical accounts, and prepare the system to be maintained after launch.

Security is not a single feature added before launch.

Decisions This Course Supports

  • Review identity, permissions, secrets, privacy, and recovery responsibilities.
  • Retain company ownership of repositories, deployment, data, and vendor accounts.
  • Ask for a usable incident response, handover, maintenance, and support plan.

Who it is for: Non-technical founders working with consultants, developers, agencies, freelancers, or AI coding agents.

Explore Security, Ownership, and Operations
6 published lessons60 min published learning path

Designing Work for AI Agents

Direct Answer

Turn loosely understood work into a bounded agent workflow with explicit context, tools, approvals, tests, and accountable human review.

Giving an AI agent a goal is easy. Designing work it can perform reliably requires a clearer model of the objective, the decisions inside the work, the actions available, and the points where authority must remain with a person.

Decisions This Course Supports

  • Separate objectives, decisions, actions, and approvals in an agent-assisted workflow.
  • Define the context, tools, constraints, and evidence an agent needs for one responsibility.
  • Choose deterministic automation when rules are more reliable than model reasoning.

Who it is for: Founders, operators, product leaders, consultants, and technical teams introducing AI agents into real business workflows.

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10 published lessons149 min published learning path

Self-Hosting Open-Source Applications

Direct Answer

Move from a maintained open-source repository to a secure, containerised VPS deployment that can be operated, updated, backed up, and recovered.

Self-hosting can replace recurring per-seat subscriptions with infrastructure you control, but it also transfers responsibility for access, updates, data, backups, monitoring, and recovery.

Decisions This Course Supports

  • Evaluate whether a self-hosted replacement produces genuine control and total-cost benefits.
  • Prepare a VPS and explain DNS, TLS, reverse proxies, Docker networks, and port mappings.
  • Deploy a pinned open-source application with Git, Docker Compose, Coolify, or Dokploy.

Who it is for: Technically literate founders, operators, analysts, and developers who can use a terminal and read project documentation but have not yet operated a production self-hosted service.

Explore Self-Hosting Open-Source Applications

Learn a Concept. Test the Reasoning. Apply It to a Product.

Each lesson introduces a small number of technical ideas in plain language.

Important technical terms are retained because founders will encounter them in proposals, documentation, meetings, and AI-generated plans. Each term is explained when it first appears, often with an analogy or practical example.

Lessons are divided into short sections. Knowledge checks appear between ideas rather than only at the end. Exercises ask you to make the kind of decisions a founder may face while planning, reviewing, or launching a real product.

Progress is stored on your device. An account is not required.

The Consultant Can Do the Work. The Founder Still Needs to Make the Decision.

A technical consultant can recommend an architecture, configure a server, design a database, review a codebase, or test an application.

The consultant still needs business context.

How quickly must the product launch? What data would be damaging to lose? How much downtime is acceptable? Which features genuinely validate the idea? How much operational complexity can the team support?

These are not purely engineering questions.

The purpose of this course is to make the founder competent at the point where technical constraints meet business judgment.