Reliability
I define done, keep evidence and make unfinished work explicit.
AI · AUTOMATION · DIGITAL OPERATIONS
AI Systems that work when the work gets real.
I’m Jack Martin, an AI & Digital Systems Integrator. I turn operational bottlenecks into dependable workflows — websites, automations, reporting and recovery processes that teams can understand and run.
90GitHub repositories*
7Selected case studies
3Delivery surfaces: web, automation, operations
*Account inventory observed 05 Sep 2026; includes original work, prototypes and clearly labelled curated forks.
REMOTE TEAM FIT
Useful in the gap between the tool and the outcome.
Documentation
I leave a clear checkpoint, owner, next action and recovery path.
Customer mindset
I translate technical state into language that helps a person act.
Remote independence
I can investigate, prepare and deliver without losing alignment.
Tool adaptability
I work across GitHub, Replit, WordPress, Google Workspace, hosting and AI tools.
Operational honesty
Draft, staged, sent, deployed and verified are different states — I report them that way.
My background is broader than a traditional MSP-only path. The value I bring is practical systems thinking, calm troubleshooting, careful documentation and fast learning inside a client’s toolset.
A CROSS-SECTOR APPROACH
People, systems and strategy belong in the same conversation.
My background spans technology, digital business, healthcare leadership, counselling, education and research. That range shapes how I approach AI: not as more technology, but as a practical way to solve real problems, simplify work and create measurable value.
Start with the work
Align AI and automation with the business goal before choosing the tool.
Design for people
Build systems that remain useful, understandable and sustainable for the team running them.
Make value visible
Turn complex technology into clear next steps, dependable workflows and outcomes that can be verified.
Technology should support human thinking, relationships and judgement — not obscure or replace them.
CAPABILITY MAP
From ambiguity to an operating system.
AI & workflow automation
Agent workflows, approval gates, prompt systems, business-process design and safe human hand-offs.
Web & platform delivery
React, TypeScript, WordPress, Replit, GitHub, hosting, DNS and deployment troubleshooting.
Operations & recovery
Form tracing, incident diagnosis, access checks, hosting recovery, verification and practical runbooks.
Documentation & enablement
Clear reports, learning materials, executive briefs, process documentation and resumable hand-offs.
SELECTED WORK / VERIFIED SCOPE
Work that crossed the finish line — and work honestly labelled before it did.
Each case shows the system, my contribution and the verification boundary. That distinction is part of the work, not a footnote.
OPS-01LIVE SYSTEM · VERIFIED WORKFLOW
First Time Driving School
A public enrolment journey backed by a practical staff operations layer — built for real customers, real follow-up and a small team that needs the system to stay understandable.
My contribution
Recovered and aligned the WordPress booking experience, Google Apps Script workflow and staff-facing records. Used controlled, test-labelled submissions while diagnosing hosting and application failures.
Evidence boundary
Traced the expected route from public form and confirmation through email and the secure operational record, recording exact checkpoints instead of assuming success.
EDU-02ONGOING · LIVE + INTERNAL SYSTEMS
MyFiladelfia
Digital systems for a counselling and education organisation, spanning public web experiences, course operations, student communication and internal administration.
My contribution
Built and maintained web properties, assessment and reporting workflows, bilingual learning materials, communication processes and an AI call-centre prototype.
Evidence boundary
Kept learner-facing, staff-only and sensitive counselling contexts separate, with explicit review points before messages, grading or live changes.
MKT-03DELIVERED · OPERATING MODEL
Spirit Protection creator programme
A creator-marketing operating system that connects discovery, qualification, approval, outreach, reporting and commercial decision-making.
My contribution
Structured creator research and approval-gated outreach, maintained auditable ledgers and translated the programme into an executive continuation case and presenter materials.
Evidence boundary
Separated researched prospects, approved recipients, sent communication and reported outcomes so the team could see what was known — and what was still pending.
AI-04STAGED CORE · NOT PRODUCTION
Approval-first marketing command centre
A multi-workspace system design for using AI agents across marketing without giving up human control over external actions.
My contribution
Defined the architecture, normalized execution and usage data, pinned the upstream supply chain and staged a working core around explicit approval gates.
Evidence boundary
Documented the remaining Supabase authentication, database and release gates rather than presenting the staged system as production-ready.
WEB-05PUBLISHED SITE · CAMPAIGN HELD IN DRAFT
Tots & Tods
A small-business web, conversion and content workflow built to connect local discovery with clear enquiry paths.
My contribution
Worked across the Replit site, DNS and form readiness, Meta lead-ad configuration, bilingual copy and short-form video production.
Evidence boundary
Verified the site and creative artefacts separately; kept the advertising campaign unpublished while lead delivery and final approval remained open.
PRO-06PRIVATE PILOT · PROTOTYPE
DFY Clipping Engine
An operator-first product concept for turning creator-authorised source media into managed short-form production workflows.
My contribution
Produced the technical requirements and a private pilot intake covering source authority, likeness permissions, restricted information, output targets and deletion expectations.
Evidence boundary
The intake and architecture are evidenced; automated rendering and submitted-project outcomes remain deliberately labelled as unverified.
LAB-07ACTIVE BUILDS · REPLIT + GITHUB
Digital systems lab
A broad build practice covering websites, AI prototypes, API demonstrations, education tools and practical automation experiments.
My contribution
Used Replit, GitHub and AI-assisted development to move from ambiguous business needs to inspectable prototypes and maintainable hand-offs.
Evidence boundary
Public work is linked where evidence is available; private apps, experiments and curated forks are labelled instead of being passed off as original products.
OPERATING METHOD
How I stay reliable when it gets busy.
Pressure is where a simple operating method matters most. Mine keeps work visible, recoverable and verifiable.
- 01
Triage by impact
I separate outages, customer blockers and deadlines from work that can wait, then make the next action visible.
- 02
One system of record
I keep status, owner, evidence and the resume point in one place so busy work does not become invisible work.
- 03
Checklists for repeat work
I use short runbooks for deployments, forms, content, access and hand-offs — especially when the task is easy to rush.
- 04
Verify the full route
A successful click is not a successful system. I follow the transaction to its expected destination and keep the receipt.
- 05
Communicate early
I write down the exact checkpoint, uncertainty and blocker early enough for someone else to make a useful decision.
“Source saved → deployed version → public route → controlled result.”
My default verification chain for live-system changes
GITHUB / REPLIT
Build history, with ownership made clear.
My GitHub account is a working lab: original client and product builds, prototypes, integrations and curated repositories used for learning. The labels matter. A fork is not presented as an original product, and a prototype is not presented as a production system.
Open the full GitHub profile ↗LET’S TALK