Case Files

The AI Workflow page describes the methodology. This page is what it looks like when that methodology runs against a real brief, a real client, and a real deadline. Two engagements. One proves voice. One proves process. Together they make the same argument from opposite ends.

Case File 01

Primate Science — Voice Under Constraint

A YouTube channel needed 8-minute scripts explaining complex scientific topics through a monkey narrator who uses banana metaphors. The brief was modeled on two existing educational channels. I entered a competitive multi-round review against at least two other candidates. The channel's owner described the caliber across all finalists as "extremely high." I was selected and contracted.

The challenge here isn't the science. It's sustaining a character under load. The monkey voice isn't a costume you put on a chemistry lecture — it's a governing logic that has to stay coherent while the material underneath it gets harder. Atomic structure is manageable. Quantum superposition inside a banana metaphor is a different problem.

Monkey Explains Chemistry covers approximately 41 timestamped topics — atomic structure, bonding types, intermolecular forces, states of matter, acid-base chemistry, redox reactions, and quantum chemistry — compressed into a single 8-minute script. Before delivery, I flagged to the client that the source material ran nearly five times the target length. The voice holds throughout.

Monkey Explains Physics — an expanded and revised version I resubmitted without being asked, after recognizing the initial draft was underweight — runs approximately 1,000 words across eight sections. It closes with a structured recap that functions as both content summary and tonal landing.

The client paid a bonus beyond the contracted milestone. Several months after the contract closed, the same client reached out again when developing a new project. That's the signal that matters.

"We were super impressed with your writing style."
Anthony Anthony, Primate Science

From the script: Monkey Explains Chemistry

Monkey sit by river. Hold banana.
Break banana. Break again. Keep breaking.
Banana still there. Still banana?

Yes. Banana made of atoms.

Atom is tiniest piece that still banana.
Like jungle seed that make whole tree.

Inside atom, even smaller parts.

Protons in center. Neutrons too.
Electrons spin around—tiny buzzing gnats.

· · ·

But now, jungle turn strange.

Monkey see atom. Atom vanish. Atom buzz. Atom in two places.

This is quantum chemistry.
Banana not sit still. Banana shimmer.

Banana is both ripe and not.
Banana share spark across jungle with no vine.

Electron don't sit in shell. They blur. They cloud.
Monkey call it quantum fog.

At bottom of chemistry vine—only ghost banana.
Tiny rules. Weird rules. But real.

That's jungle truth.

Monkey love you.
Monkey strong together.
Monkey get smarter together.

Scientific accuracy, consistent voice, 41 topics in 8 minutes. The AI handled research synthesis and draft language. The governing logic — what the metaphor can carry, where it breaks, how to land the ending — was human judgment at every step. That's the argument this script makes.

Case File 02

ProProfs — The Pipeline

ProProfs is an established SaaS edtech platform. Their AI-generated educational lesson content was underperforming in search. The prompt pipeline producing it needed a diagnosis and a redesign. I was hired to build the replacement, tested it against their existing lesson pages, and revised it through a second feedback round.

The deliverable was a process, not a draft — four prompts in sequence, documented and structured so that another team could run it without me present.

"Really liked the cleaner version — it reads much better."
Vidyadhar Sharma, Associate Director of Content, ProProfs

The four-prompt pipeline

Prompt 1 — Concept Extraction

You are an instructional designer preparing a grade 6 lesson on Nouns and Pronouns.

Use this tone and style: Write in a clear, direct voice with short paragraphs. Prioritize active voice. Avoid adverbs, buzzwords, or overly enthusiastic tone. Use plain English, but include specific jargon where relevant. Structure the response with H2 and H3 headings, bullet points, and tables where helpful. Keep the Flesch reading ease score at 69 or higher. Focus on clarity, practical value, and calm confidence. Do not use purple prose or filler language. Assume the reader is a capable student or educator who values structure, simplicity, and no wasted words.

Read the attached quiz/lesson.
List every distinct concept that the quiz (or a quiz of the lesson) would test (e.g., IPA symbols, stress patterns, minimal pairs).
For each concept, note the best question type used (multiple-choice, short answer, etc.) and the skill being checked (recall, application, analysis).

Return your findings as a table with columns: Concept | Question Type | Assessed Skill.

Prompt 2 — Student Misconception Research

Maintaining the tone and style I asked for,

Act as a teacher of the appropriate grade and subject for the previous quiz/lesson, one who moderates online study forums (Reddit's r/EnglishLearning, Chegg Q&A, Linguaholic).

For each concept identified in the previous table, list the 3 most common student questions or misconceptions you have seen recently.

Write bullet points, in students' own words where possible.

Prompt 3 — Lesson Generation

Maintaining the tone and style I asked for,

Create a student-centred lesson that prepares learners of the appropriate grade level for the quiz on the subject outlined previously.

Inputs: Concept map and student questions from the earlier steps. Primary keyword for SEO. One-sentence search intent (e.g., "Define a noun and show learners how to identify one").

Requirements:

Word count: 900–1,200.
Paragraph size: every paragraph must contain ≥ 2 full sentences. Guideline: Grades 4–6 → 15–40 words per paragraph; Grades 9–10 → 25–60 words.
Heading structure: use only H2 and H3.
Featured-snippet answer: directly under the H1, write a single 30- to 40-word sentence that answers the search intent in plain language and includes the primary keyword.
For each concept, include all of the following in order: one clear one-paragraph explanation; one worked example; Quick Tip — a one-sentence student-facing tip (no "Teacher Tip," do not address teachers); Mini-quiz — exactly one 4-option multiple-choice question showing choices as A) B) C) D) with Correct answer marked and If wrong feedback written out.
Quick-questions block: finish each concept with one bolded FAQ pair. Question must start with Who/What/When/Where/Why/How/Does/Can/Is and include the keyword once. Answer stays one sentence.
Wrap-up: a 6-question mixed-review quiz (all MCQ) with key and feedback lines. One closing paragraph that restates the keyword once.
Source cueing: whenever you cite a fact or statistic, append (Source: authority name) — no links.
Tone & readability: conversational, precise, active voice, Flesch ≥ 69.
Audience check: the lesson must never speak to "teachers" or "instructors" — address the student only.

Return only the finished lesson.

Prompt 4 — Quality Control

Maintaining the tone and style I asked for,

Refine the lesson you just produced as follows.

Single-focus guarantee: if any heading or paragraph introduces a second major topic, move it to "Related Topics" at the end or delete it.
Exact-match headings: rewrite every H2/H3 so each starts with the exact keyword or a close variant.
Tighten redundancy: cut filler phrases ("In this lesson you will learn…") and merge duplicate ideas.
FAQ sweep: ensure every FAQ question begins with Who/What/When/Where/Why/How/Does/Can/Is and includes the keyword once; answers stay one sentence.
Snippet check: confirm the first 40-word sentence is still directly under the H1 and reads naturally.
Source tag check: make sure every statistic or rule cites a source in parentheses.
Voice sweep: verify no sentence addresses teachers; rewrite any that do so they speak to the student.
Quiz audit: each concept must have exactly one 4-option MCQ. Every question lists Correct answer: X and If wrong: feedback line. Remove any fill-in-the-blank or other formats.
Paragraph length check: ensure every paragraph contains at least two full sentences.

Return the cleaned lesson — no commentary.

Each prompt is doing a specific job. The first establishes the diagnostic frame and carries the tone and style parameters that every subsequent prompt inherits. The second grounds the lesson in actual learner confusion rather than idealized curriculum logic — it's the step that most AI-generated educational pipelines skip entirely. The third is the production engine, structured so the output is ready for SEO before it's ever edited. The fourth closes every gap the third might leave.

The pipeline is transferable. A content team can run it without knowing how it was built. That's the point.

The client indicated plans for a follow-up contract on SaaS blog content automation.

If you have a problem either of these cases resembles, get in touch.