Hi, I'm Ben Schippers — Advanced Cloud Engineer at Microsoft. This is the parallel track: where I direct a cluster of AI agents and ship the strange stuff myself.

Strange software, fully shipped.

A midnight lab for one human and a cluster of AI agents — physics sims, discovery engines, and odd little tools that actually make it out the door. Microsoft is one side of the work — enterprise Copilot, at scale. This is the other side. Both real.

14 builds · 10 live · 2 on Stripe · 5 open-source · 1 operator

the lab's open — and people keep taking the work home: 500+ repo clones a week.

Research wing Erdős filed the lab's first auditable provenance run — every reasoning step recorded, replayable, and caught a real bug on its first replay.

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connecting to the tank…
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Flagship

Eight builds, each carrying real weight. Charm, utility, intellect, revenue.

Everything below is built with Claude as the pair. How that works, in the writing.

Writing

The Field Journal — thoughts on AI, product, and building in public, gathered by volume. Latest below.

About the Lab

Why a one-human, agent-augmented studio names itself for a broken branch — the place the rings finally show. Proof discipline, honest nulls, and the one thing no afternoon of fixes can manufacture.

Read the Essay →

Portfolio in a Box

A portfolio site that sounds like a person, not a template — plus the actual forkable box, with the voice baked in and the identity swappable. Taste as a starting point, not a cage.

Open the Box →

Growth Rings — 10 Months of Job Searching, Building, and Shipping with AI

203 applications. 76 rejections. 34 ghosts. 2,710 GitHub contributions. 6 live products. A data-driven cross-section of 10 months in the 2025-2026 tech market — the funnel, the ghosts, what actually worked, and the parallel build sprint that changed the trajectory.

Read the Data Story →

The Productive Compute Framework

Self-sustaining AI infrastructure for global public good. A framework for converting idle compute capacity into verified outcomes through UN outcome-based funding. Whitepaper, DRAFT v2.0.

Read the Paper →

If You Can Read a Recipe, You Can Now Be a Developer

The $1K Experiment Part 2: What happens when the framework compounds. 5.5 hours to working MVP. 2,031 lines became 106,000. Shipping is addictive—here's the warning label.

Read on LinkedIn →

The $1K Claude Code Credit: What Happens When a PM Learns to Ship

Could a senior PM with product clarity but no coding background actually build and ship real software? 31 days, 215 commits, 38K lines of TypeScript. The 64/33/3 collaboration model that made it work.

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The 90-Day Death Spiral: Why 95% of AI Projects Fail

Research suggests only 5% of AI pilots deliver measurable impact. The early warning system hiding in your support tickets—and the metrics that predict failure before day 90.

Read on LinkedIn →

Labs

The experiments shelf. Some ship, some stay strange. The research half — machine residents, explorables, research wings — lives behind one front door; these are the highlights worth a detour.

Live

Git Width

A repository read like a cross-section. Commit activity drawn as tree rings — busy months are wide growth, quiet ones are narrow, and the whole history reads as grain. The dendrochronologist's habit, pointed at a git log.

SVG Data viz Dendrochronology
Read the rings →

The lab has its own front door — step inside

Backstory — The Arc

Ten years at Microsoft, a 10-month gap where shipping in public became the job, and back at Microsoft since March 2026. The numbers, the case study, and the CV live below for anyone who wants them.

Background

Microsoft

Senior Program Manager, AI Platforms & Enterprise Operations

Across 5 years, spanning Copilot · Graph · Windows 365 · Teams Devices

Owned a portfolio of internal platforms across 8 product lines—signal systems, routing intelligence, self-service tools, and quality measurement. The infrastructure that turned customer friction into engineering action.

  • Rebuilt the signal-to-engineering pipeline from scratch. 95+ features shipped through this system; adopted org-wide.
  • Built routing intelligence that classifies incoming work by complexity and matches it to the right skill level.
  • Scaled self-service from pilot to ~50% adoption on flagship products. Tens of thousands of tickets per year that never get created.
  • Created early risk detection identifying 700+ at-risk customer situations before they escalate.
  • Built and shipped a recommender reaching 14K enterprise customers with 14% conversion.
  • Led crisis response for a 433K-user transition—near-zero churn.

Microsoft Premier Support

Built Premier Engineering from a 3-person pilot to 150 agents handling 60K incidents/year.

Managed partner programs spanning 1,000+ Office 365 migrations across 12 global partners.

Education

B.S. Interdisciplinary Science & Technology — University of Arizona

Former dendrochronologist. Yes, tree rings. It's where the domain name comes from.

Case Study: Copilot Extensibility — From Silos to Signal

Led the cross-functional effort to build enterprise AI adoption intelligence across multiple product lines. Created the signal-to-engineering pipeline that identified 76 blockers, unblocked 7,380 users, and contributed to 94,000 seats added.

76 blockers found 7,380 users unblocked 94K seats added 47% self-help success

A major enterprise AI rollout was accelerating across multiple product lines with no shared visibility into adoption patterns. Customers were hitting adoption walls that no single team could see. I assembled a cross-functional team, deployed real-time case analytics, and built the feedback loop that turned support signal into engineering priorities. The framework created a sustainable system for surfacing and resolving adoption blockers across the enterprise AI ecosystem.

By the Numbers (Microsoft era)

3 → 150 agents Co-founded the program, hired the team, built the playbook
700+ blockers Surfaced from support signal that product teams couldn't see
95+ features shipped 64% of requests submitted to engineering accepted
220K users unblocked Adoption walls removed before they became churn events
94K seats added Customers who expanded after we resolved their blockers
$355M+ aggregate value Across retained ARR, cost avoidance, and growth enablement

Let's Talk

If something here sparked an idea — or you want to trade notes on building weird things with Claude — reach out.

Open seat — mathematician collaborator

Erdős needs a combinatorialist — PhD student is plenty — curious what auditable human–AI mathematics looks like from the inside. Every step we claim, you can check: walk the first provenance trail, then take the seat.

Atlanta, GA