This is the final piece of the Prompt Engineering Master Series. You have learned the foundations, the specialised tools, the advanced techniques, and you have built eleven real projects. The capstone is where everything comes together into a single portfolio — a site, a doc, or a deck that proves to a recruiter, a client, or a hiring manager that you can think with AI, not just use it.
Most people finish a course and have nothing to show for it. The difference between knowing prompt engineering and being hired for prompt engineering is one thing: a portfolio that demonstrates how you think. Code matters less than the brief. Outputs matter less than the chain that produced them. Your portfolio's job is to show both.
In this capstone we will assemble your eleven previous projects into a single coherent portfolio, write the case studies that make recruiters slow down and read, and ship the whole thing somewhere a stranger can find it.
A prompt engineering portfolio has four ingredients: a landing page that frames who you are, a set of project case studies that show how you think, a prompt library that demonstrates breadth, and a contact path that converts interest into a conversation.
The "I'll send screenshots" trap
"I've built a few things with ChatGPT. I can show you screenshots
if you'd like."
Recruiters and clients are skimming five candidates an hour. Screenshots sent over email lose to a candidate whose link they can open in two seconds. The portfolio is not the work — the portfolio is the path that lets someone see the work. If the path doesn't exist, the work doesn't exist.
This capstone is itself a prompt chain. You will use AI to help draft the case studies, the bio, and the prompt library descriptions — but the projects are yours, and the editorial judgement is yours.
Step 1 — Project audit prompt
You are my honest career coach.
Below is a list of 11 projects I've built. For each, evaluate:
- portfolio strength (strong / decent / weak) and why
- which kind of role it best demonstrates (e.g. content, dev,
data, design)
- the headline "result" I should lead the case study with
Recommend the TOP 5 to feature prominently, the next 3 to include
as "more projects", and 3 to leave out or rebuild.
Projects:
1) AI blog writer — {one-paragraph description of what you built,
what the chain looked like, what the final artefact was}
2) Personal study assistant — {…}
... (paste your notes for all 11)
Step 2 — Case study template prompt
For each of the 5 featured projects, draft a case study with this
structure. Audience: a hiring manager skimming for 90 seconds, then
deciding whether to read deeper.
# {Project Title}
**One-line promise:** {what this project does for whom}
**The brief.** 2 sentences — the problem, the constraint that made
it interesting.
**My approach.** 1 paragraph — the chain you designed, the
techniques used (CoT, RAG, system prompts, etc.), and why.
**The chain.** A small diagram or numbered list showing the prompt
sequence and what each step produces. Keep it scannable.
**Sample output.** One real, unedited output from the system,
clearly labelled. Don't cherry-pick the best one — pick a
representative one and explain its weaknesses.
**What I'd improve next.** 3 bullets. This is the section that
separates serious candidates from amateurs.
Rules:
- Write in plain English. Avoid "leveraged", "spearheaded",
"synergy".
- Show the prompt, not just the output.
- Be honest about what didn't work.
Project: {paste your project notes}
The "what I'd improve next" section is the most important paragraph in any case study. It signals self-awareness, judgement, and ambition — three things recruiters specifically look for.
Step 3 — Bio + landing-page prompt
Write the landing page of my portfolio.
Structure:
- One-line hero ("Prompt engineer / {your real role}, helping
{audience} do {outcome}").
- A 3-sentence "what I do" paragraph that does NOT include the
word "passionate".
- A row of 3 featured projects (1 line each, linking to the
case studies).
- A row of values: 3 short statements about how I work
(e.g. "I save the chain, not just the output").
- A single contact CTA — one email link or a Calendly URL.
No contact forms.
Voice: confident, direct, slight British understatement.
Avoid: "passionate", "transformative", "AI is the future",
"results-driven".
About me:
- Real name and role: {your details}
- Audience I want to serve: {e.g. early-stage founders, content
teams, data teams}
- 3 things I want to be hired to do: {your 3}
- A weird/specific fact that makes me memorable: {your fact}
Step 4 — Prompt library prompt
Help me curate a public prompt library page. Goal: 12 reusable
prompts, each one a strong example of a different technique.
For each:
- short title (5 words max)
- the use case (1 line)
- the prompt itself (formatted in a code block)
- 2-line "why this works" note that references a specific
technique (system prompt, few-shot, CoT, RAG, etc.)
Cover this breadth (one per row): writing, study, support,
analysis, hiring, marketing, code review, design, education,
finance, RAG, evaluation. Pick the strongest prompt from each
of my 11 projects + 1 bonus.
Output as Markdown ready to drop into a static site.
The prompt library is what separates a portfolio from a directory. Other candidates show finished outputs; you show the reusable engine that produced them.
Step 5 — Launch checklist prompt
You are my launch reviewer. The portfolio link is below. Pretend
you are:
(a) a recruiter at a SaaS company who has 60 seconds,
(b) a small-business owner thinking about hiring me for a
freelance project, and
(c) a senior engineer with a sceptical eye for AI hype.
For each persona return:
- the first impression in 1 sentence
- the 3 weakest things on the page
- the 1 thing that made you want to read more
- one specific edit that would close the deal
Link / Markdown source: {paste your draft portfolio}
Three pairs of eyes you wouldn't otherwise get. Apply at least one fix per persona before you publish.
Tip: Schedule a "portfolio refresh" reminder for three months from launch. Replace your weakest project, polish your strongest case study, and update the bio. A living portfolio always outperforms a perfect-but-frozen one.
Run the project audit prompt on all eleven projects you've built. Read the output. Be honest about which three you would actually be proud to show a stranger — and which ones need a rebuild before they earn a spot.
Write a one-paragraph case study for your strongest project today, without using AI. Then ask AI to critique it using the case study template. The contrast teaches you exactly which parts of writing you can offload — and which parts only you can do.
Publish a draft portfolio at a real URL this week — even an embarrassing one. Send the link to one friend and one mentor. Their feedback is worth more than another month of solo polishing.
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