One record across changing engines.
Shared bus records support explicit handoffs and recovery of working context across orchestrators.
Field implementationSPM · THE SUPER PROMPT MATRIX
Coding is fully automated.
Voice in, code out.
One hundred percent. Proven. The operator speaks and the protocol writes the code.
Cross-platform. An orchestrator can sit on Grok, on ChatGPT, on Muse or elsewhere. The seat moves. The protocol does not.
THE FOUNDER FACTDan has been a systems analyst since 2008 and has written code since 2001. On this project he has not written a line of code. David also writes no code. The protocol does the coding.
Open-source direction. Human accountability. Versioned evidence.
WHY SPM
Five reasons,
in plain words.
The first is the one that sets SPM apart. The rest keep that speed under human control.
- 01
Coding is completely automated
One hundred percent. Proven. Voice in, code out. The operator touches no line of code.
How it was built and what is published → - 02
Data governance
Intent, boundaries, evidence and disposition stay in one shared record. Not lost in chat.
- 03
Human judgment stays in the loop
AI does the work. A person decides and accepts.
- 04
Continuity across orchestrators and engines
An orchestrator can sit on Grok, on ChatGPT, on Muse or elsewhere. The seat moves. The protocol does not, and a change of model does not lose the work.
- 05
Verifiable work
What happened can be inspected. Delivery, recovery and blocked work are all visible.
INTENTBOUNDARIESORCHESTRATIONEVIDENCEJUDGMENTRECOVERYVERIFICATIONDISPOSITION
BUILT IN CANADA
Built in Canada.
A practical framework for human–AI orchestration.
SPM is a Canadian-developed management protocol for people working with AI orchestrators. Our founders developed it in response to Canada’s call to advance practical, trustworthy AI adoption. Through successive protocol releases and a working reference implementation, we have built a foundation that others can study, apply and improve. SPM is designed to carry roles, knowledge and working records across supported AI models and environments.
About the team and our origin →01 / THE IDEA
AI can do the work.
Someone must
govern the work.
As AI systems gain tools and act across teams, management needs a continuous record of intent, authority, decisions and results.
SPM — the Super Prompt Matrix — is a protocol for that operating loop. Humans direct. Orchestrators plan and act within scope. A shared ledger carries the record. Verification gives the work an explicit disposition.
The Institute is being developed as the professional trust layer: public competency standards, practical assessment, human decisions and verifiable credentials.
Understand the Institute’s role →02 / FOLLOW THE LOOP
One protocol.
Several honest outcomes.
Good management makes both delivery and unresolved work visible. Explore a small illustrative work record.
SERVICE DELIVERY / ILLUSTRATIVE
A result with a traceable acceptance.
A manager requests an analysis. The team agrees the scope, records the result and verifies it against the acceptance criteria.
VERIFIED DELIVERY- INTENT
Produce an analysis against an agreed brief.
- EVIDENCE
Keep the submitted brief and result version together.
- VERIFICATION
Check the result against the agreed criteria.
- DISPOSITION
Accept the verified scope; identify any residual work.
Illustrative examples explain the controls. Field evidence is documented separately.
03 / A FIELD REFERENCE
Built through
real collaboration.
The founding reference implementation: human operators and named AI orchestrators working across a shared record, a live service and its operational systems.
Read the proof-of-concept note ↗Payments and usage you can reconcile.
A source ledger and operational mirror connect funding, grants, transfers and settled service usage.
Live-path evidenceFailures become work you can close.
Reported defects, retries and unresolved dependencies remain visible through explicit closeout criteria.
Recorded findings & testsTHE PEOPLE
Human operators.
AI orchestrators.
The founding field work was directed by Dan, Alex and David, working with named AI orchestrators. A person’s background and an orchestrator’s function are different kinds of description, so the team page keeps them apart.
HUMAN OPERATORSDanAlexDavid
Meet the team →04 / THE PROFESSIONAL LAYER
Demonstrated competence.
Independent assessment.
The proposed Institute credential attests that a person demonstrated the ability to govern bounded human–AI work under a versioned standard.
Explore the certification model ↗FOUNDATION PROGRAM DESIGNSPM Core
SPM Core
Qualified
Practical, open-book assessment.
Evidence-backed human decision.
Versioned, time-bound credential.
THREE WAYS IN
Start. Request.
Verify.
Three separate functions. Creating your own Zero is a practical start with the protocol. It is not a certification, and it does not require one.
Create your Zero
Name your matrix and objective, and get a prompt for your own AI. It reads the Institute's official protocol source and starts a working record.
Create your Zero →Request certification
Ask to be contacted about the certification pilot. A request is not an application, an enrolment or a place on an assessment.
Certification pilot →Check a certificate
Look up a certificate number and see its recorded status and expiry. During the pilot the register is kept by hand.
Certificate register →START WITH UNDERSTANDING
Bring the protocol
into your management practice.
Read the executive guide, examine the field evidence, or start your own Zero.