Yungsten Tech · Boston

AI work that compounds.

We embed AI into the operating cadence of leadership teams, teach the parts that change behavior, and build the platform when the prototype is the bottleneck.

Talk Through a ProjectSee the ladder

Three working modes · pick one

Embed

A biweekly retainer that runs the brain for the C-suite. Wiki, agents, the operating layer that sits between meetings.

Teach

A monthly seminar and quarterly intensive for the team around them. Tight, case-driven, no faculty theater.

Build

Project-scoped rebuilds when the prototype is the bottleneck. Lovable, v0, Base44, and the integration layer behind them.

Comfortable withLovablev0Base44SupabaseRenderClaudeObsidian

Embed & teach — the ladder

Four rungs, from free to embedded.

Different content at each rung, not just different price. Most engagements start one rung in, sit at the next for a quarter, and move when the work asks for it.

  1. 01

    Build-a-Brain

    Free · self-serve

    An install prompt that turns Claude Desktop + Obsidian into a personal second brain. Three quick inputs trigger a fifteen-minute Cowork interview that scaffolds the wiki around your real work.

    What’s inside

    • The install prompt itself
    • Live Cowork interview, fifteen minutes
    • Starter wiki structure, written in your voice
    • One real document ingested before you log off
    Open the install
  2. 02

    First Round

    $2,500 · single session

    Designed as a single-session evaluation, not an onboarding. Ninety minutes with us, a starter Obsidian wiki tuned to your world, one named agent installed and runnable. You leave able to tell whether the rhythm is right before anyone signs on for the retainer.

    What’s inside

    • Ninety-minute Cowork, scheduled inside ten days
    • Wiki tuned to your people, programs, and decisions
    • One agent installed and runnable that week
    • Plain note from us on whether Rounds is the right next step
    Book a First Round
  3. 03

    Rounds

    $15–25K / month · embedded

    Biweekly ninety-minute sessions with the C-suite, a quiet wiki tended between visits, four named agents built with you over the first quarter, and a monthly seminar for the team around the room.

    What’s inside

    • Biweekly Cowork with the C-suite
    • Obsidian wiki on a domain-specific object model
    • Four agents — KOL prep, literature digest, partner brief, board pack
    • Monthly seminar, updated each month with the tooling
    See the Rounds page
  4. 04

    Curriculum

    From $3K / quarter / leader

    A monthly two-hour seminar and a quarterly half-day intensive for a cohort of ten to twenty leaders. Case-driven, scoped to executive judgment, no engineering theater. Pairs naturally with Rounds when both fit.

    What’s inside

    • Monthly seminar — vendor reads, governance posture, what changed this month
    • Quarterly half-day intensive — one program, one decision, worked end-to-end
    • Per-cohort vendor-diligence template the org can keep
    • Shared vocabulary across the leadership group
    Talk about a cohort

How we work

Six things every agent we ship has to name.

The model is the engine. The implementation layer is the car. Every agent we install names these six in writing before anyone uses it.

Builds — when the prototype is the bottleneck

Take the prototype to production.

Project-scoped rebuilds, not a retainer. We take MVPs from Lovable, v0, Base44, Supabase, and Render and turn them into systems a team can run after we leave. Roughly half the cost of an agency, with an actual line of communication.

Bring us the prototype

Access

Roles, tenants, secrets, and the places users are allowed to touch.

Data

Schema, migrations, imports, backups, and one source of truth.

Runtime

Repeatable deploys, useful logs, cost visibility, alerts, and rollback.

AI Work

Agent instructions, review gates, session replay, and traceable output.

Handoff

Runbooks, owner notes, and a plain list of what is shipped or stubbed.

Proof

Recent work.

Patterns we can speak to directly. Claims kept narrow on purpose.

DepthChartIQ

D1 basketball decision platform, soft-launch ready.

Stood up depthchartiq.ai from founder docs, a model artifact, and an invite-only scope. 73 MVP-tagged features shipped across five waves, three Drizzle migrations, three new internal packages, 150-plus vitest passes, and a clean validator gate. Auth, admin, cohort data, payments scaffolding, and per-feature evidence in production.

AlphaRose / RINAE.AI

Three rare-disease tools, one investor-demo pipeline.

Argus, Admiral, and Metamorph each have a sole developer and a different stack. We are wrapping before rewriting: a Next.js orchestration layer on Fly, shared state between tools, human review gates, and a four-phase plan that keeps Quin, Pablo, and Robert in the driver's seat.

Executive Wiki

A working second brain for a biotech operator.

Claude Desktop and Obsidian onboarding for an executive carrying portfolios across operating, advising, and investing. The wiki holds his companies, people, decks, and questions inside confidentiality boundaries he set. He left the session with a real document indexed and an answer Claude alone could not have produced.

Vers1ons, FlipSmart, TradeCanny

Adoption measured by session forensics, not license counts.

Three operating teams instrumented with session logs and review gates. Non-coders shipping full-stack changes safely. Junior developers moving faster behind guardrails, not slower behind reviews. The data that catches when adoption drifts back into chat-window habits.

Team

Two operators.

Paul Mikulskis

Paul Mikulskis

Co-Founder · Systems and Engineering

Paul builds production systems at the edge of what AI tools can do. Background spans VMware, LogRocket, Flipside Crypto, and Vers1ons, where he is CTO. Strongest where a prototype needs architecture, context, reliability, and an honest delivery cadence.

Josh Lerman

Josh Lerman

Co-Founder · Business and Workflow

Josh brings the operator lens: how teams actually work, where time leaks, and which automations would matter if they were built. He turns scattered business pain into clear workflows, buyer language, and adoption plans.

Insights

Field notes.

InsightMay 2026

How Session Logs Unlock Token Efficiency, Adoption Measurement, and Real ROI from Enterprise AI

Token costs have dropped 280-fold in two years. Enterprise AI bills keep climbing anyway. Session logs are the instrument that turns spend, adoption, and governance from guesswork into a feedback loop.

Read more
Field Note

The MVP-to-Platform Checklist

The exact list we walk through when an AI-generated app has product traction but cannot yet take real users: data model, auth, deploys, observability, and ownership.

Coming soon
Curriculum

AI Judgment for Biotech and Pharma Leaders

Why off-the-shelf executive AI courses fail biotech and pharma audiences, and what changes when 21 CFR Part 11, GxP, HIPAA, and IP exposure are on the table.

Coming soon

Pick a rung.

Thirty minutes, no slides. Tell us the operating quarter in front of you. We will tell you which rung fits and what the first ninety days look like.

Talk Through a Project