Operator workflow thinking
I start with the real workflow: who does what, what information moves where, what repeats, what breaks, and where decisions slow down. The goal is removing operational drag, not simply “adding AI”.
Built for the AI Orchestrator role at Beard Capital
AI systems builder for messy operator workflows.
I design, build, and ship AI workflows, automations, dashboards, and internal tools that turn repeated manual work into operating systems people actually use.
I’m a full-stack developer with 10 years of experience building business systems. I sit comfortably between founders, operators, and engineers: mapping the workflow, simplifying the problem, building the system, and helping people adopt it.
01 / ROLE FITThe role needs range.
The role needs range.
I bring the combination.
WHAT BEARD CAPITAL NEEDS
- →Map operator workflows and find high-leverage opportunities
- →Design agents, prompts, data flows, evals and exception paths
- →Coordinate with builders and ship lightweight automations
- →Track adoption, failure, operator feedback and ROI
- →Turn repeated manual work into practical operating systems
WHAT I BRING
- ✓10 years of full-stack development experience
- ✓Strong workflow and business systems background
- ✓AI-assisted products, internal tools, APIs and automations
- ✓Clear communication across technical and non-technical teams
- ✓A bias toward useful, adopted systems that actually do things — not demos
WHY I’M APPLYING
The operating layer is where the real value gets built.
I’m interested in this role because it sits exactly where I do and enjoy my best work: between business operations, AI systems, and software execution.
I’m not looking for a role where AI means making impressive demos that never enter daily use. I’m interested in building the internal tools, agent workflows, dashboards, prompts, exception paths, and feedback loops that make teams faster and more effective.
My background is full-stack (front and back end) web development, but the more relevant part is that I’ve spent years working directly with business operators from many different industries understanding how their businesses actually operate. I’m comfortable speaking with founders about outcomes, operators about bottlenecks, and engineers about implementation.
The Beard Capital role is explicitly practical: find the bottleneck, design the workflow, ship the system, make sure the team uses it, and measure whether it worked. That is exactly the work I want to do.
THE COMBINATION
Think. Build. Embed.
Full-stack execution
I can move from workflow map to working software. Laravel, Vue, APIs, databases, webhooks, AI APIs and production deployment — enough range to build the first useful version when speed matters.
Human adoption
A workflow only matters if the team uses it. I think about rollout, trust, training, exception handling and feedback loops from the beginning, not as an afterthought.
CLEAR ACROSS THE ROOM
I speak startup, engineer, and plain English.
I can move between the commercial outcome, the technical implementation, and the explanation an operator actually needs — without losing the thread between them.
CASE STUDY 01
GuideFlow AI
THE PROBLEM
Service businesses waste time going back and forth to collect missing booking information. The work repeats, but still requires judgement: knowing what is missing, asking the right question, validating replies, and escalating when needed.
THE SYSTEM
GuideFlow receives customer enquiries, extracts structured booking information, identifies missing details, communicates with customers to gather additional information, and evaluates responses against predefined booking requirements before progressing the workflow. Validation checks, confidence thresholds, and exception paths ensure incomplete or uncertain enquiries are escalated appropriately, allowing business owners to focus only on fully qualified booking requests that require human judgement.
BOOKING COORDINATION LOOPHUMAN-IN-THE-LOOP
01Customer enquiry↓
02Extract known details↓
03Identify what is missing↓
04Send focused follow-up↓
05Validate the reply↓
06Escalate for approval
Built for reality
Incomplete data, follow-up loops and escalation paths — not a generic chatbot.
Role relevance
Turns a messy operator workflow into an agent system with clear exception handling and full auditability.
CASE STUDY 02
MoreWorx
01Lead generation
02Website + forms
03Customer record
04Quote workflow
05Invoice + payment
06Job record
07Growth engine
08Business dashboard
THE PROBLEM
Small service businesses run across disconnected forms, inboxes, notes, spreadsheets, quotes and invoices. The result is missed leads, slow responses, inconsistent admin and no clear operating system.
THE SYSTEM
MoreWorx is a production Laravel platform spanning lead generation, customer records, quotes, invoices, payments, job information and AI-assisted growth workflows.
Production depth
Subscription billing, preview-to-activation, domains, admin tooling and AI content systems.
Role relevance
Find repeated manual work, build the tooling, then turn workflows into reusable internal products.
A PRACTICAL TEARDOWNHow I’d approach a
How I’d approach a
Beard Capital workflow.
Map the current workflow
People, triggers, required information, repeated decisions, existing tools and where the work stalls.
↘Identify leverage
Frequency, value, adoption pull, automation risk and the decisions that should remain human-owned.
↘Design the system
Inputs, outputs, agent brief, data flow, tools, prompts, exception paths, review points and success metrics.
↘Ship the first useful version
A small daily use case with a clear owner, fallback path, logging and a tight feedback loop.
↘Track whether it worked
Adoption, time saved, failure rate, escalation rate, ROI and direct operator feedback.
↘TECHNICAL CAPABILITY
Technical enough to ship.
I’m not limited to strategy documents or agent briefs.
I can build.
AI + automation
OpenAI APIsGoogle APIsMeta APIsPrompt designAgent workflowsStructured outputsTool useEvalsWebhooksCodex
Software
LaravelPHPHTMLCSSVueJavaScriptMySQLAPIsAuthenticationAdmin dashboards
Operations
Workflow mappingRequirementsTechnical leadershipDocumentationUser trainingProcess designAdoption tracking
Infrastructure
DigitalOceanCloudflareDNSDomainsStripeEmail systemsDeploymentsLinux servers
BACKGROUND
Ten years building the systems behind the business.
Full-stack developer focused on websites, business systems, internal tools and production web applications.
NOW
Building AI-assisted operating systems and workflow automation tools for service businesses.
2015—NOW
Full-stack development
Laravel applications, WordPress platforms, CRMs, internal tools, hosting, deployments and client support.
ALONGSIDE
Operators + adoption
Requirements gathering, mentoring developers, and teaching business owners how to use new digital systems.
CURRENT
AI systems
Agent workflows, AI-assisted products, automation tooling and practical operating layers.
ROLE REQUIREMENTS
Mapped directly to the role.
Map workflows and identify automation opportunities
GuideFlow and MoreWorx began with messy service-business workflows and turned them into structured systems.
✓Design agents, prompts, data flows and exception paths
GuideFlow uses extraction, missing-data detection, follow-up loops, validation and human escalation.
✓Coordinate with technical builders
I communicate with operators and engineers clearly — and can build the first version myself.
✓Build lightweight automations directly
My full-stack background lets me use scripts, APIs, webhooks, dashboards and AI tools at lightspeed without any handholding or babysitting.
✓Track adoption, failures and ROI
Rollout, feedback loops, failure tracking and workflow measurement are part of the system design from day one.
✓ADDITIONAL SIGNAL
Bonus Points.
Experience that adds useful context beyond the core role requirements.
Built a personal OpenClaw application
Hands-on experience designing and building my own agentic application, not just working from theory.
Worked from Enterprize Tasmania
Spent time inside Tasmania’s startup hub, working alongside founders and early-stage businesses.
Led small technical teams
Experience guiding developers, coordinating delivery, and keeping technical work aligned with the outcome.
Graduate Certificate in Cybersecurity and Networks
Postgraduate qualification from QUT covering the security and network foundations behind reliable systems.
Digital Ready business coach
Mentored business owners through a government program, finding practical ways technology could make their work easier.
Published technology presenter
Delivered multiple video presentations for Digital Ready, published on the program website for business owners across Tasmania.
THE BOTTOM LINEI’m not applying as
I’m not applying as
an AI tourist.
I’m applying because this role matches the work I’m already doing and enjoying: taking messy business workflows, simplifying them, building AI-assisted systems around them, and making those systems useful in the real world.
I can think like an operator, write like a strategist, build like an engineer, and teach like someone who has had to get real people using real systems.