You will get AI Workflow Audit & Architecture Brief
Rising Talent
Rising Talent
Project details
I help founders and operators make sense of messy, half‑built AI workflows, and I can also help you design a roadmap for a new LLM‑powered system from scratch. Instead of jumping straight to “let’s build another bot,” I trace your existing system end‑to‑end, find the failure modes, and then write a clear, implementation‑ready brief you can hand to any dev or ops team.
This project is different from generic “automation setup” gigs: you’re buying an audit and decision document, not a pile of ad‑hoc “fixes.” I approach every task from a systems perspective and bring that to every client. You’ll get a structured view of what’s working, what’s fragile, and a prioritized plan—with effort estimates—for what to fix or build next, rooted in a human perspective of workflow design, data continuity, real world scenarios, and user expectations.
This project is different from generic “automation setup” gigs: you’re buying an audit and decision document, not a pile of ad‑hoc “fixes.” I approach every task from a systems perspective and bring that to every client. You’ll get a structured view of what’s working, what’s fragile, and a prioritized plan—with effort estimates—for what to fix or build next, rooted in a human perspective of workflow design, data continuity, real world scenarios, and user expectations.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Mobile App Development, AI Text-to-Image, AI-Enhanced Classification, AI-Enhanced Medical Imaging, AI-Generated Code, AIOps, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Synthetic Data GenerationAI Models
ChatGPT, GPT-3, GPT-4What's included $400
These options are included with the project scope.
$400
- Delivery Time 5 days
- Number of Revisions 1
- Model Documentation
- Prompt Engineering
Optional add-ons
You can add these on the next page.
Live review call
+$75Frequently asked questions
About Jonathan
AI Workflow & Automation Architect | Claude, Notion, Health & Ops
Westminster, United States - 2:56 pm local time
One personal project I am particularly proud of is called Cornflower Health—an end‑to‑end health data pipeline I’ve been running and iterating on for over seven months for my own wearable data. It pulls Apple Watch data into a webhook backend, normalizes it into a structured schema, syncs it into Notion dashboards, and layers LLM‑based coaching on top. Some parts are polished, some are still evolving, but every architecture choice, debugging session, and trade‑off is documented.
That project is less a “finished product” and more a live lab: I’ve broken and rebuilt pieces of the pipeline several times, experimented with prompts and data models, and developed a deep feel for where LLMs fail in real health‑related workflows. That hands‑on experimentation is what I bring into client work.
What I bring to your team:
I can turn a vague idea (“we’re copy‑pasting data between tools”) into a scoped, observable workflow and a concrete system design.
I can direct AI tools as a development team—prompting, chaining, and orchestrating them across multi‑session builds while maintaining continuity.
I understand clinical and safety risk: I’ve written a clinical AI failure‑mode case study describing how temporal‑context errors in LLMs produce misleading or clinically unsafe outputs.
I can write for both clinical and engineering stakeholders, and I know the difference in what each group needs to see.
My background and domain focus:
I’m currently completing an MFT clinical internship (I will be a licensed therapist in 2027), and I have prior experience in healthcare operations, public health writing, and workshop facilitation. That means I’m comfortable talking about symptoms, safety plans, and care teams on one side—and data models, pipelines, and workflows on the other.
What I’m offering on Upwork right now:
AI Workflow Audit & Brief (Fixed price – 400)
A focused engagement where I review your current process, map the workflow, identify automation and AI opportunities, and deliver a visual brief you can hand to an internal team or another implementer. I use the same visual system I built for my case studies, with clear diagrams, screenshots, and a narrative that non‑technical stakeholders can follow.
End‑to‑end AI workflow design and implementation:
For teams in healthcare, behavioral health, coaching, or operations who want to go beyond “ChatGPT in a tab.” This includes discovery, architecture diagrams, no‑code build (e.g., Notion, automation tools, LLM APIs), iterative testing, and handoff docs.
I'd love to know how I can help you and your team. If you think you could use my services, I’d be happy to talk about your project.
Steps for completing your project
After purchasing the project, send requirements so Jonathan can start the project.
Delivery time starts when Jonathan receives requirements from you.
Jonathan works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery and Intake
I'll review your materials (docs, screenshots, Looms) and map your current workflow: tools, automations, and human steps. If anything’s unclear, I’ll send 2–3 clarifying questions in Upwork messages.
Deep dive: AI workflow Audit
I trace 1–2 key workflows end‑to‑end, flag reliability and safety risks, and identify high‑leverage AI/automation/documentation opportunities. Findings are organized into clear buckets: what’s working, what’s fragile, and what to change first.