
CheckMate
KKR, AI-assisted deal pipeline
Turned complex underwriting workflows into a focused product roadmap, from user discovery through launch and adoption.
$70B+ platform
Everrett Harris
TheThroughLine.AILiveAI knows public information. It does not know the unwritten context inside Goldman Sachs, KKR, ServiceNow, Tuck, or Harvard Kennedy School. I share that context with students and young professionals from marginalized communities, so you can use it alongside AI.
Platform numbers can be delayed. The total includes manually verified counts.
Dual MBA / MPA candidate, Recruiting for Summer 2027, Dartmouth Tuck × Harvard Kennedy School, Expected 2028
Track Record
Goldman Sachs, KKR, and ServiceNow gave me the experience to turn complex decisions into products people use.
Enterprise scale, user research, cross-functional launches
Experience
Product launch, user research, and AI go-to-market across finance and enterprise software.

MBA Product Marketing Manager Intern, AI Agents
Owned go-to-market strategy for AI agents across Finance Operations, translating technical capability into outcomes for Fortune 500 finance leaders.

Associate, Global Credit & Markets Operations
Led product strategy and launch for CheckMate, informed by research with 50+ portfolio managers and analysts across a $70B+ credit platform.

Senior Analyst, Global Banking & Markets
Built the business case and partnered with Product and Engineering to launch a firmwide platform for 40,000+ employees.
Enterprise products
At KKR, I led the CheckMate launch. At ServiceNow, I developed positioning and sales materials for finance AI agents.

KKR, AI-assisted deal pipeline
Turned complex underwriting workflows into a focused product roadmap, from user discovery through launch and adoption.
$70B+ platform

ServiceNow, Enterprise GTM
Developed positioning, use-case libraries, and sales plays for agentic finance workflows in regulated enterprises.
Fortune 500 buyers
Why me
At KKR, I worked on capital decisions and credit operations. At Goldman Sachs, I helped launch a firmwide platform. At ServiceNow, I built go-to-market for finance AI agents.
Capital allocation decisions informed
KKR
Multi-fund asset transfer managed
KKR
Employees reached at launch
Goldman Sachs
Engagement lift on platform launch
Goldman Sachs
Reporting accuracy improvement
KKR
Faster deal turnaround
KKR
Education
At Tuck, I study business and technology. At Harvard Kennedy School, I study AI policy and governance.
The Founder's Bridge
My work inside firms showed me how much useful context stays out of reach. Here is the problem I set out to address.
From insider context to public access
The gap
AI can summarize what is public. It cannot give you the unwritten context behind decisions inside firms and schools. Students and young professionals from marginalized communities often have to make those decisions without an insider network.
What I saw
Inside Goldman Sachs, KKR, and ServiceNow, teams rely on context that never appears in a search result.
What I built in response
TheThroughLine.AI shares that context through articles, research, and video. TheDirectLine gives you a way to ask better questions.
The Product
I built an AI-native digital media platform for students and young professionals from marginalized communities. Its products are the articles, research, and videos I publish.
0-to-1 product discovery, editorial operations, go-to-market
How it works
One idea becomes content you can read or watch. You can ask how it applies to you through TheDirectLine.
Articles
Read my published writing on business, technology, and policy.
Research
Read longer research, including The Transformer Moment below.
Video
Watch short explainers on Instagram, TikTok, and YouTube.
Channel audience
Live or manually verified
TikTok
37
Followers
555 likes
YouTube
4
Followers
Substack
11
Followers, manually verified
34
Followers, manually verified
These are early numbers. Counts labeled manually verified may be older than the latest platform data. Other counts are requested when the page loads.
Live evidence, Substack
Read the latest writing on Substack.
The feed is unavailable right now. The publication is still open.
Founder Building, TheThroughLine.AI
A 15-page paper on transformer architecture, its effects on business and policy, and why you still need to check the output of AI tools.
Loading paper…
By Everrett V. Harris, TheThroughLine.AI. Read and navigate all 15 pages here, or open the full paper in a new tab.
Planned, not launched
I plan to add conversations that explain how people make decisions inside firms and schools.
TheDirectLine is the AI tool of TheThroughLine.AI. You will build off the articles, research, and videos, plus interviews with top operators, founders, and academics, to shape your AI skills and ask better questions. It is in development at the Harvard Innovation Labs. I iterate and stress-test it weekly.
thethroughline.ai
Read the articles and research. Use TheDirectLine when you need context for your next move.
@thethroughlineproject
Read how business, technology, and policy affect your choices. Use TheDirectLine if you have a question.
@thethroughline.ai
Watch short explainers about the decisions behind the news. Use TheDirectLine for more context.
@thethroughline.ai
Watch short videos about business, technology, and policy. Use TheDirectLine to ask what you want covered next.
@TheThroughLineAI
Watch conversations and video essays. Use TheDirectLine to ask how to apply what you learn.
Product Management Case Study
I built this digital media platform to share context you cannot get from public information alone. I publish articles, research, and short-form video. Here is how I produce and review each piece, and what I can measure today.
Problem
AI can summarize what is public. It cannot give you the unwritten context inside Goldman Sachs, KKR, Tuck, or Harvard Kennedy School. If you lack an insider network, you get information without the context to decide what to study, apply to, or build next.
Problem statement
You can read public information. You still need the context behind decisions inside firms and schools.
ICP
Students and young professionals from marginalized communities.
You should be able to act on what you read without an insider network.
The original workflow
Step 1
Idea
Pick the week’s thesis from what I’m seeing and hearing.
Step 2
Research
Read sources, pull quotes, build the argument manually.
Step 3
Long-form draft
Write the full piece end to end.
Step 4
Repurpose ×5
Rewrite by hand for Instagram, TikTok, YouTube, Substack, and the site.
Step 5
Publish by hand
Upload, caption, and schedule on each platform separately.
Friction points
| Friction | Root cause | Impact |
|---|---|---|
| Research is the longest step | Sources sit in different places, so I gather and compare them manually | Delays the whole week. Drafting starts late |
| Rewriting one idea for each platform takes time | Each platform needs a different format | More manual writing for each piece |
| Publishing across platforms is manual | No shared publishing layer between the channels | Uploads can slip when I am unavailable |
| No single view of performance | Metrics live inside each platform’s own dashboard | I cannot compare which topics people respond to |
The AI-enabled redesign
Step 1
Idea
Editorial direction stays mine.
Step 2
AI research synthesis
AI summarizes sources and flags contradictions for me to check.
Step 3
AI first draft
AI drafts the long-form article from my topic and sources.
Step 4
AI platform versions
I adapt one idea for Instagram, TikTok, YouTube, and Substack.
Step 5
Human review & publish
I edit every piece, then publish each platform myself.
Editorial prompt example
You are helping me write for students and young
professionals from marginalized communities.
Topic: How AI agents change entry-level finance work.
Sources: ServiceNow AI agent documentation and
my notes from a platform launch.
1. Summarize what the sources agree and disagree on.
2. Write a 900-word draft that ends in one action
the reader can take this week.
3. Then produce platform cuts from the SAME thesis:
- Instagram: 5-slide carousel, 1 line per slide
- TikTok: 45-second script, hook in first 3 seconds
- YouTube: 60-second script + title
- Substack: subject line + 60-word preview
Plain language. No jargon. Flag anything you are
not confident is factual.Illustrative input
Topic: How AI agents could change entry-level finance work. Sources: ServiceNow AI agent documentation and notes from a platform launch.
Illustrative output
A draft explains how AI agents could change entry-level finance work. It suggests one action: choose a tool in your target field and learn to check its output. I would verify every claim and edit the draft before publishing.
What stays human
Editorial direction
I pick the topic based on what I have learned and what you ask. AI does not pick it for me.
Final edits
I check each claim and edit each piece before you see it.
The publish step
I publish to each platform myself. No draft goes live without my review.
Impact
Before
I researched, drafted, and adapted each idea for every channel by hand.
Now
AI helps me research and make first drafts. I verify the sources, edit each version, and publish it myself.
Metrics
| Metric | Baseline | Source |
|---|---|---|
| TikTok followers | 37 | Requested from platform |
| YouTube followers | 4 | Requested from platform |
| Substack followers | 11 | Manually verified |
| Instagram followers | 34 | Manually verified |
| Pieces in the Substack archive | 23 | Archive count or manually verified fallback |
| Weekly cadence | One thesis a week | Editorial plan |
Honesty note: This is an early-stage platform. I have not measured retention or conversion yet. I plan to measure signups, retention, and conversion only after those systems are in place.
The Brand
Content starts the conversation. TheDirectLine is the AI tool of TheThroughLine.AI. It is in development at the Harvard Innovation Labs and iterated and stress-tested weekly.
Community building, customer empathy
Ask
TheDirectLine is the AI tool of TheThroughLine.AI. You build off the content and interviews with top operators, founders, and academics to shape your AI skills and ask better questions. It is in development at the Harvard Innovation Labs. I iterate and stress-test it weekly. Today, send your question by email and I answer it myself.
Contact
For PM recruiting, I am looking for Summer 2027 opportunities in product, AI, platforms, finance, and policy.