Work

How we build and release, and what you can check.

Mode2 is new, so there are no client case studies here yet. What you can judge today is the Foundation every client runs on, how it is released, the terms of our first two deployments, and the method we hold ourselves to.

How we release

A release within 30 days of each Anthropic model or major tool change.

  • Evaluate the new model against your evals
  • Update settings and controls
  • Adopt new Anthropic features
  • Re-baseline cost

Release notes are published here as each release ships.

Reference-deployment terms

The first two Code Pod clients pay $30,000 in place of the list price. In exchange, they agree to a named public case study with before-and-after metrics.

The metrics are the ones every Pod uses: sessions, lines, commits and PRs from Anthropic's analytics, plus cycle time and defect rate from the client's own Git and tracker.

The Claude Code Pod

The method

  1. 01

    A fixed price and a time promise.

    Every offer has a published price and a date it ends.

  2. 02

    A named engineer before a build is sold.

    You meet the person who builds it before you sign.

  3. 03

    Every agent built so the model can be swapped.

    Your agent outlives any one model release.

  4. 04

    Outcomes measured before and after.

    We record the numbers first, so the change is visible.

  5. 05

    One foundation under every client.

    Code, Controls, Agent base and Governance, maintained by Mode2, so each engagement starts further along.

  6. 06

    A release within 30 days of every Anthropic change.

    The new model is tested against your evals, settings and controls are updated, new features are adopted and cost is re-baselined.

Open source

  • AIShore

    An engineering harness for Claude Code: people own the task specs and acceptance tests, Claude implements each task in its own worktree, and hooks, replay gates and a separate reviewer check the work before a person approves the merge. Retired once Claude Code shipped its own orchestration.

  • ClawHQ

    A privacy-first platform for personal AI agents on your own hardware. Retired.

Case studies

Each one goes here when its client signs off on the numbers.

Book a 30-minute scoping call.

Thirty minutes on what you need, which offer fits, and the fixed price for it.