My prototype needs to ship.
Start with a discovery sprint: architecture, risks and a build plan before a larger commitment.
Explore production buildsAI systems engineering · selective engagements
Build AI systems
you can operate.
Bring me the brittle AI prototypes, stalled integrations, or code you need a second opinion on. We’ll define the next step, build the evidence, and leave your team with work it can own.
- Build
- a system your team can own
- Review
- the risks before release
- Learn
- against your actual work
Start with the situation
What is in your way?
Choose the problem closest to yours. You do not need a finished brief to start a conversation.
I need a second set of eyes.
Get a focused review of a branch, a broader code audit, or behavioral QA before release.
Compare reviews & auditsI want to get better at this.
Work through an architecture decision or develop your practice through ongoing mentorship.
Discuss mentorshipThe systems are the résumé
Proof before promises.
Inspect the work before deciding whether the approach fits yours. These are examples of my practice, not promises about your results.
Content operations
Social content engine
ConstraintA repeatable way to take a creative idea through production and review.
BuiltCharacter references, shot planning, generated assets and human editorial decisions in one workflow.
Agent operations
Shared memory & governance
ConstraintAgents lose context between sessions and need explicit boundaries on their actions.
BuiltShared retrieval, scoped authority, escalation and an operational view of the systems.
Engineering practice
The operator behind the work
ConstraintA useful AI build has to fit the people, software and constraints already in place.
BuiltAn engineering practice that connects implementation, technical leadership and system ownership.
Two paths · one operating standard
Choose the depth of help.
Published packages for different scopes. We confirm fit, deliverables and timing before work starts.
For funded teams and live products
Build a production AI system
When the prototype proved the idea but cannot carry the business, I take the build from architecture through production handoff.
01
Discovery Sprint
Architecture review, scope, eval plan, risk map, and the fixed-fee build proposal.
02
Production Build
Architecture through production handoff. Milestone-based, observable, and built for your team to own.
03
Post-Launch Advisory
Architecture review, performance analysis, and strategic direction after the system is operating.
Production build handoff is scoped to include:
- Working system
- Eval suite
- Observability
- Runbook
For builders and small teams
Get expert eyes on the work
Bring the branch, codebase, architecture decision, or active build. You get a bounded answer instead of an open-ended consulting meter.
Code ReviewFive-agent branch review with a merge verdict and file-level findings.$50048 hoursCode AuditSecurity, architecture, performance, and test coverage findings prioritized by severity.$7505 business daysQA SweepBehavioral QA, fault injection, integration checks, and a hard PASS/FAIL verdict.$1,0005 business daysStrategy SessionArchitecture, agent-system design, stack choices, or a focused unblock.$350 / hr2-hour minimumBuild MentorshipWeekly code review, live working sessions, and async guidance against your real build.$2,000 / moFour sessions monthlyAI Operator AcceleratorWeekly architecture, critical-path PR review, and agent-harness guidance.$3,500 / moHigh-touch advisory
A bounded engagement
No mystery between hello and handoff.
The scope gets smaller before the commitment gets larger. Every phase has a decision, an artifact, and a clean stopping point.
- 01
Name the hard part
You send the system, constraint, or decision that is blocking the work. I review the request personally and aim to reply within one business day.
- 02
Bound the engagement
We choose the smallest engagement that can produce a real answer. Scope, price, evidence, and ownership are explicit.
- 03
Ship the receipt
You leave with working software or a decision-ready artifact, plus the tests, runbook, and reasoning that make it durable.
Named receipts
Trusted with the problems behind the roadmap.
Published feedback on learning, advisory and working together. Individual experiences, in their own words.
The biggest shift for me was learning that AI is not just a tool; it works best when you give it clear direction and use it with intention. I’ve already started applying what Jeremy shared to organize my ideas, create stronger content, and build more efficient systems in my business. I’m now using AI more strategically instead of simply asking it random questions.
My biggest challenge with AI, specifically Claude, was understanding how to connect the dots across systems and applications. As soon as I signed up for. KnoxAI, I was instantly connected to another world although I am in the computer science space as a product owner. This is different! Joining the class has led me to getting my AWS AI practitioner certification and even my Google Cloud Generative AI leader certification. Going down his rabbit hole, I have started to create my own applications and to end. He has been extremely knowledge, mind you, I’m just at the very beginning of my journey! Without the leadership of Jeremy and the course he has established, I don’t think I would have started my brand new journey as confidently as I have! If you are looking for a significant head start, or a huge dive into the deep end that’s comprehensive, this is the way to go!
I came into this call frustrated because I was producing constantly and still felt stuck. I was flying blind and holding the entire system in my head, and I had started to accept mediocre work from my own agents because I had no way to tell good from bad. What Jeremy did was not hand me answers. He listened first, then asked the questions that found the real problem instead of the one I came in describing. He was direct about what was wrong without ever making me feel behind, and he spoke from having already lived it everything I was hitting, he had hit. That took the weight off before we ever got to the fix. Then he did the harder favor: he showed me I was overcomplicating some things and oversimplifying others, the wrong things on both sides. I left unblocked. Decisions that had been sitting on me for weeks took minutes. I wiped my system that same night and started rebuilding, and I was not scared to do it, because I knew what I was building toward. The difference now is capacity. I move faster, I ship work I actually trust, and I am not burning energy on doubt. He did not just make my system better. He got me out of my own way.
Before we start
A few practical details.
Clear scope and expectations make better working relationships.
Do you accept equity instead of payment?
Paid services, cash-plus-equity partnerships and equity-only technical co-founder proposals are considered as distinct arrangements. Equity opportunities are selective and subject to mutual diligence. Submitting an inquiry does not establish a partnership or agree any ownership, valuation or compensation terms.
What if I do not know which service I need?
Choose Help me choose in the intake. Describe what you are building, what is blocked and the outcome you need. We can narrow the engagement from there.
How do prices and timelines work?
The prices above describe the published packages and ranges. Final scope, access requirements, delivery dates and payment terms are agreed before work starts. A code review needs a bounded branch; a larger codebase may need an audit instead.
Can we work with a private repository?
Yes. Start with a high-level description. We can agree on confidentiality and the access needed before sharing source code. Do not put credentials, customer data or private repository contents in this form.
What do I receive?
The deliverable depends on the engagement: prioritized findings for a review, a scoped plan for discovery, or the agreed software and handoff materials for a build. We define acceptance criteria before implementation.
Start the conversation
Name the hard part.
Tell me the goal, the constraint and what you have tried. I review requests personally and aim to reply within one business day.
- Code-level access when relevantNo slideware diagnosis from a distance.
- Start with the contextA short description is enough. Share sensitive materials only after we agree on access.
- A direct answerIf the engagement is wrong, I will tell you why.
Your next step
Tell me what you want to build.
Explore a paid engagement, a strategic partnership, or a technical co-founder opportunity. Compare the roles and share your proposal in one dedicated intake.
Start your inquiryA different kind of system
Need a cinematic story instead?
Commission an AI film with the character bibles, storyboards, and prompts built to keep the world coherent.