Look Back
Before the five days begin, expose the map you have been obeying.
Inside paid course access.Course map
Five days to make the move real.
A serious course for builders, switchers, and ambitious side projects that are done collecting motivation. Update your estimate of what modern leverage makes possible, direct the work with judgment, study the operating patterns deeply, and finish with proof you can act from.
What this is
Ambition becomes real when it has evidence.
Five Days Forward teaches a repeatable five-day move: name what matters, update the estimate, direct modern tools with judgment, coordinate help, and produce proof. The course covers subscription products, APIs, open-weight and open-source model choices, international model ecosystems, coding harnesses, computer use, agents, context packages, and verification. The workbook is support for retaining the work; the course is the product.
18+ study hoursSix dense lessonsPrivate by default
Program map
Five assets. One proof. A new starting point.
Each lesson has a study overview, section-by-section index, condensed review takeaways, practical teaching sections, real-world patterns, drift checks, a field exercise, a tool assignment, checkpoints, and source notes. Paid access unlocks the full course body; the workbook keeps your private record.
What Matters
Separate borrowed goals, status goals, emergency goals, and the direction that can survive a difficult week.
Inside paid course access.What Is Possible
Many limits are real. Some are old. Day Two updates your estimate for a world of subscriptions, APIs, agents, coding harnesses, computer use, and open model ecosystems.
Inside paid course access.Direct Intelligence
The modern skill is not asking for magic. It is building context packages, work orders, tool boundaries, and verification loops.
Inside paid course access.Multiply Action
Real leverage comes from coordinating tools, agents, people, systems, approvals, and review without losing responsibility.
Inside paid course access.Make It Real
The proof does not need to be perfect. It needs to be real enough to change your relationship with the possible.
Inside paid course access.One-time course access
Make one serious idea real enough to judge.
Get all six lessons, study guides, and workbook handoffs for $49.99 once. No subscription.
Buy the course — $49.99Sources and influences
Old wisdom, modern tools, current caution.
The course pulls from public-domain history, learning science, strategic decision-making, risk management, and official modern technology guidance. It paraphrases ideas and uses source links for deeper reading.
Benjamin Franklin, Autobiography
Used for the idea of a daily review rhythm and a bounded day.
John Dewey, Experience and Education
Used for the idea that experience needs reflection and direction to become education.
John Boyd, A Discourse on Winning and Losing
Used for the Observe, Orient, Decide, Act pattern and the importance of orientation.
Institute of Education Sciences, Organizing Instruction and Study
Used for learning design: spacing, retrieval, worked patterns, and self-explanation.
NIST AI Risk Management Framework
Used for the safety pattern of governing, mapping, measuring, and managing tool risk.
Stanford HAI, 2026 AI Index
Used for the modern context: capability is moving faster than preparedness.
U.S. Department of Education, AI and the Future of Teaching and Learning
Used for the human-centered education framing around opportunity, risk, and judgment.
Microsoft Work Trend Index 2026
Used for the workplace reality that anxiety and agency both matter when tools change.
OpenAI API docs, Agents SDK
Used for the distinction between one model call, tool use, orchestration, approvals, state, and guardrails.
OpenAI API docs, Computer use
Used for the computer-use loop: screenshot, proposed actions, harness execution, updated screen, repeat, and human review.
Anthropic Claude Code docs
Used for the coding-harness frame: tools that read a codebase, edit files, run commands, and integrate with development workflows.
Anthropic computer use tool docs
Used for the security and implementation frame around desktop control, screenshots, tool loops, and sandboxed environments.
Google Gemini API function calling docs
Used for the model-to-tool bridge: structured function calls, application execution, external data, and real-world actions.
Open Source Initiative, Open Source AI Definition
Used for the difference between open-source AI freedoms, open weights, source code, parameters, and training-data information.
Meta Llama
Used as one official example of a major open model ecosystem for builders choosing control, deployment, and fine-tuning tradeoffs.
Mistral AI models overview
Used as one official example of provider model catalogs spanning frontier, specialist, agentic, coding, and open-weight options.
Qwen3 GitHub repository
Used as one official example of a large international open-weight model family with tool-use and coding capabilities.
DeepSeek API docs
Used as one official example of an international API provider using OpenAI-compatible and Anthropic-compatible formats.