$97
per month
Live Graph Engineering classes · Twice a month
Give your coding agent a second brain. From idea to secure deployment.
Your agent can write code. Graph Engineering teaches you how to give it a durable project system so it can understand the goal, carry decisions across sessions, know what comes next, prove the work, and keep moving toward release.
- Keep the project intact when a session resets, compacts, or changes hands.
- Help the agent pick up the right work without rebuilding the entire story in every prompt.
- Carry one project through planning, implementation, verification, and a security-aware release.
$97/month · Two live classes each month · Graph Development skill included
Bring a new idea, an active repository, or one stubborn change that keeps losing momentum.
The Graph Engineering membership at a glance
2
live classes every month
Included
Graph Development skill
Access
to upcoming agent classes
The problem is bigger than prompting
Stop depending on brittle prompt chains that disappear during session compaction.
A powerful coding agent can still lose the project. Most agent-built projects are held together by prompts, summaries, copied instructions, and whatever still fits in the current context window. That can work for a quick task. It breaks down when the work lasts for days, requirements change, several files depend on one decision, or the project reaches testing and deployment.
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A careful prompt chain disappears when the session compacts.
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The next session starts cold and repeats questions you already answered.
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The agent remembers the requested feature but loses the product reason behind it.
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A passing test is treated as proof even when the user-facing result is still wrong.
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One changed requirement leaves related work stale without anyone noticing.
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Deployment becomes a separate scramble instead of the final part of the same project.
Your session may compact. Your project shouldn’t.
What this looks like in real work
The agent is moving. The project is not.
These failures rarely look dramatic at first. They look like progress—until you notice that the agent is rebuilding context, solving the wrong problem, or handing you code that is not ready to ship.
01
The endless restart
You spend the first part of every session explaining the repository, the goal, the last decision, and what not to touch.
Your best project knowledge remains trapped in a conversation that will eventually disappear.
02
The locally correct build
The agent completes the requested component or endpoint, but it does not fit the wider product, data flow, or user journey.
The code can look reasonable while the project moves farther from the outcome you wanted.
03
The passing test that proves the wrong thing
A command exits successfully, so the work is declared finished without checking the behavior a real user will experience.
Technical activity gets mistaken for delivery.
04
The cold handoff
A compacted session, new agent, or returning collaborator receives a summary but not the decisions, boundaries, and evidence that made the project make sense.
Work resumes from a partial story, so old mistakes return and completed decisions get reopened.
05
The change cascade
One requirement changes after implementation begins, but no durable project map shows which plans, files, tests, or release steps are affected.
You either miss necessary rework or restart far more of the project than needed.
06
The almost-deployment
The feature works locally, but permissions, secrets, dependencies, environment differences, rollback, or release approval were never carried with the build.
The last mile becomes the riskiest and most expensive part of the project.
The transformation
Stop managing a temporary chat. Start directing a project partner.
Graph Engineering moves the project’s important working knowledge out of a brittle conversation and into a durable structure the agent can read, update, and act from.
Prompt-dependent
The prompt chain holds the project together.
Project-aware
The project state survives sessions and compaction.
Prompt-dependent
The agent waits for you to reconstruct what happened.
Project-aware
The agent can find the goal, current state, and next valid work.
Prompt-dependent
Requirements and decisions are buried in chat.
Project-aware
Important choices stay connected to the work they affect.
Prompt-dependent
The agent optimizes for finishing the requested task.
Project-aware
The agent works toward the real product outcome.
Prompt-dependent
A changed requirement creates guesswork or a broad restart.
Project-aware
The project shows what needs review and what can remain intact.
Prompt-dependent
Deployment is treated as somebody else’s problem.
Project-aware
Release requirements and security checks travel with the project.
The model did not need a magical prompt. It needed a better project to work from.
One connected project
Give the agent a path from the first idea to the final release.
The second brain is not just memory. It helps the agent understand the project, make progress in the right order, recover when something changes, and return proof before you approve the next step.
Start with the idea
Turn the thing you want to build into a clear outcome, intended user, boundaries, and open questions.
Shape the work
Give the agent enough requirements and decisions to plan without inventing the missing parts.
Build in sequence
Connect the work so the agent knows what is ready, what depends on something else, and where your approval is required.
Prove the result
Check more than whether a command passed. Compare the implementation with the behavior and outcome the project actually needs.
Handle change
When a requirement or decision moves, trace the effect and reopen the affected work without throwing away everything that still holds.
Prepare a secure release
Carry deployment requirements, permissions, dependency and secret checks, target-environment verification, rollback thinking, and human approval into the release.
You stay in control of the decisions. The agent gets the structure it needs to execute them.
Two live classes every month
Learn the method. Apply it to your project. Bring it back stronger.
Graph Engineering is an ongoing live class, not a one-time download. Each month gives you a useful pattern, time to apply it, and a second session to inspect what your agent actually did.
Build Session
Learn one practical Graph Engineering pattern and build it into a real project.
- See the problem through a concrete agent-built project.
- Learn the pattern in plain language before the technical details.
- Apply it to a new idea, existing repository, or bounded change.
- Leave knowing exactly what to try before the next class.
Review Session
Bring back the work, inspect how the agent used it, and strengthen the weak spots.
- Review what progressed, stalled, drifted, or was misunderstood.
- Compare technical completion with the intended user result.
- Repair missing context, unclear decisions, and weak checks.
- Set up the next part of the project to move with less re-explaining.
Then the rhythm repeats with the next useful layer of your project.
What you’ll learn
Build the second brain one useful layer at a time.
Graph Engineering builds the durable project foundation first. Each month goes deeper into the parts of real software work your agent needs to carry, from project clarity through change and deployment.
The class goes deep when the project requires it, but the sales promise stays simple: help the agent carry the whole job.
Give the Agent a Project Map
Capture the project outcome, users, constraints, important resources, and what is already true.
Best when starting a project or adopting an existing repository.
- Problem
- The agent sees files and prompts but not the complete purpose, boundaries, or current state.
- Artifact
- A durable project map the agent can inspect before it acts.
Turn Ideas Into Buildable Direction
Turn intent into clear requirements, exclusions, decisions, and acceptance conditions.
Best before asking the agent to design or build a substantial feature.
- Problem
- A broad idea leaves too many gaps for the agent to fill with plausible guesses.
- Artifact
- Agent-readable direction for planning and implementation.
Keep Important Decisions Alive
Record the choice, why it matters, who owns it, and which work should change if the answer changes.
Best when several parts of the build depend on one product or technical choice.
- Problem
- A decision made in chat disappears while the code that depends on it keeps moving.
- Artifact
- Durable decisions connected to the project.
Connect the Work From Start to Ship
Connect implementation, review, approvals, and release work in the order the project actually requires.
Best for longer work, handoffs, parallel effort, and deployment.
- Problem
- A task list shows activity but does not tell the agent what is truly ready or what must happen first.
- Artifact
- A usable route through the project for both you and the agent.
Prove What Actually Works
Define the tests, inspections, user behavior, and release evidence that make completion believable.
Best before accepting a feature, migration, fix, or deployment.
- Problem
- The agent reports a green command without proving the requested result in the real target.
- Artifact
- A verification path tied to the intended outcome.
Change Course Without Starting Over
Trace what the change affects, preserve what remains valid, and give the agent a precise recovery path.
Best when requirements, architecture, tests, or release conditions change mid-project.
- Problem
- New information forces either silent drift or a wasteful full restart.
- Artifact
- A focused repair plan and clean project handoff.
Where this leads
Graph Engineering is where you begin. When you graduate, keep your membership active to continue into upcoming agent classes.
What you build
Leave with more than notes. Improve the project your agent works from.
Each class should make part of your real project easier for the agent to understand and safer for you to direct.
The agent understands
- Who the project is for and what it must accomplish
- What is in scope, out of scope, and still undecided
- Which project instructions must survive the current session
The agent knows what comes next
- Which work is ready and which work is waiting
- Where a human decision or approval is required
- How a change affects the remaining path
The agent can prove the finish
- What technical checks must pass
- What user-facing behavior must be inspected
- What security and deployment conditions must be satisfied
The agent can recover when things change
- Which completed and planned work a new decision affects
- What must be revisited without discarding unaffected progress
- How to restore a trustworthy path forward after a failure
Useful things you can build or improve
- A durable project brief
- Agent-readable requirements
- A record of important decisions
- A connected implementation path
- A definition of what finished means
- A verification and review checklist
- A change-recovery path
- A deployment readiness checklist
Your exact artifacts depend on the project you bring and the part of its lifecycle you are improving.
Your instructor
Learn with Dan Sasser
Dan Sasser has spent more than 25 years working across protocol systems, networking, web platforms, and AI architecture. He created Graph Engineering and the Graph Development skill to help people direct coding agents through real software work without losing the project between prompts.
Dan teaches both monthly sessions and works through the patterns against practical software examples.
- Use the project you are actually trying to build or repair.
- Start with the customer problem before exposing the machinery.
- Let the agent execute while you keep authority over important decisions.
- Prove the real outcome before calling the work complete.
Illustrative project walkthrough
Same coding agent. Better project to work from.
Imagine adding secure client document uploads to an existing portal. A long prompt can describe the feature. A project second brain helps the agent carry the feature through the rest of the system.
Example project Add secure client document uploads
Before the build
The agent receives the users, allowed file types, storage boundary, access rules, exclusions, existing architecture, and the behavior that will count as finished.
During the build
It follows the connected work, keeps new decisions visible, checks the existing system before changing it, and reports evidence with each completed part.
When the project changes
If storage, file limits, or access rules change, the affected requirements, implementation work, tests, and release checks are updated together without throwing away unrelated progress.
Before release
It checks authentication, authorization, dependency risks, secrets, storage permissions, target configuration, rollback needs, and the final human approval.
The agent does not perform better because the prompt became longer. It performs better because the right project information appears at the right time.
The offer
Join the class that turns your coding agent into a project partner.
$97/month Recurring monthly membership
Learn the method live, apply it to a real project, and return for review twice every month.
- Two live Graph Engineering classes every month
- One Build Session and one Review Session
- Graph Development skill access during active membership
- Access to upcoming agent classes while your membership remains active
- Project readiness and first-graph guides
- A practical graph review checklist
- Troubleshooting and recovery guidance
- Reusable patterns you can apply to later projects
Bring one real project or bounded change. Do the work between sessions. Keep the final product and release decisions in your hands.
What makes the membership different
It is applied
You build against your own software work instead of watching a generic prompt demonstration.
It is recurring
Graph Engineering is where you begin. After you graduate, keep your membership active to continue into upcoming agent classes.
It includes the working tool
The Graph Development skill helps your coding agent create and use the project structure taught in class.
Is this for you?
Bring a real project and a willingness to direct the agent.
You do not need a particular job title. You do need something real enough to make decisions about and the willingness to inspect what the agent produces.
This is for you if
- You use an AI coding agent on a real software project.
- You keep rebuilding context after resets, compaction, or handoffs.
- Your agent can finish tasks but struggles to carry the whole project.
- You are starting something new, maintaining an existing repository, or preparing a difficult change.
- You want the agent to verify work instead of merely reporting activity.
- You can apply what you learn between the two monthly sessions.
This is not the right fit if
- You want a single magic prompt that autonomously produces a finished company.
- You want to hand every product, security, and release decision to the model.
- You are looking only for a passive video library.
- You are unwilling to bring a project or practice between sessions.
- You expect any method to guarantee that generated software has no defects.
- You only need help with one tiny prompt that already works.
Questions
What to know about Graph Engineering
The class is practical, recurring, and built around the software work you bring.
What is Graph Engineering?
Graph Engineering is a way to give an AI coding agent durable project structure across the full software journey. It keeps the goal, important decisions, connected work, verification, change, and release requirements available beyond one prompt or session.
What do you mean by a second brain for the agent?
It is the project knowledge and working structure the agent can inspect instead of depending entirely on chat history. It tells the agent what the project is, what is currently true, what matters next, what changed, and what must be proven.
Does this help when a session compacts or resets?
That is one of the central problems Graph Engineering addresses. The project’s important state lives outside the fragile prompt chain, so a new or compacted session can return to durable project context rather than relying on a perfect summary.
Can the agent really carry the whole project?
Graph Engineering gives the agent a connected route through planning, implementation, verification, change, and release. The agent still operates within the tools and access you provide, and you remain responsible for decisions and approval.
Does Graph Engineering guarantee secure software?
No method can guarantee defect-free or perfectly secure software. Graph Engineering makes security requirements, checks, target-environment verification, approvals, and deployment readiness part of the project instead of leaving them as an afterthought.
How do the two monthly classes work?
The Build Session teaches and applies one useful pattern. The Review Session examines how it worked against real projects, repairs weak spots, and prepares the next project step.
Do I need to be an experienced programmer?
You do not need a particular title or seniority. You should be able to describe what you are building, access the project you want to work on, and make decisions about the result.
What kind of project should I bring?
Bring a new software idea, an active repository, an inherited codebase, a product change, or a difficult repair. If the project is large, you can begin with one bounded part of it.
Is the Graph Development skill included?
Yes. The Graph Development skill is included during active membership and helps your coding agent create and work from the project structures taught in class.
Does this remove the need for human review?
No. The agent executes more effectively because your intent, boundaries, and approval points are clearer. You remain responsible for product judgment, sensitive actions, security decisions, and whether the result is ready to ship.
What happens after I graduate from Graph Engineering?
Keep your monthly membership active after you graduate and you will have access to upcoming agent classes as they become available.
Is this a finite course or a one-time product?
It is an ongoing $97 monthly membership with two live classes each month. Graph Engineering is the class you begin with, and active membership continues into upcoming agent classes after you graduate.
Your next project can work differently
The session can end without taking the project with it.
Give your coding agent a durable second brain. Bring the idea, repository, or change you want to move from first decision through verified, security-aware deployment.
$97/month · Two live classes every month · Graph Development skill included
Graph Engineering is an ongoing live class. Bring real work and build the system alongside it.