AI-Native

AI proficiency engineered from the inside out.

Most teams claim AI proficiency. We measure it. Every engineer uses our AI kit and is instrumented with Pheebs, our open-source measurement tool. Our data tells us where the gaps are so we can act with intention.

Reusable AI skills kitSession telemetryWeekly AI programEval-backed delivery
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The Eversynced AI delivery framework

About the framework

The nearshore market is saturated with 'we use AI.' We built a framework that proves it. Every engineer operates inside it, contributes to it, and is measured by it.

01

The AI Kit

Reusable AI skills that automate the dev cycle, with verification built in.

02

The Measurement Layer

Pheebs telemetry that shows how the kit gets used and how engineers really work with AI.

03

The Program

Metrics, a roadmap for the kit driven by the team, group sessions focused on AI, and coaching with intention.

In practice

The pillars at work

Three parts of one loop. The kit does the work, Pheebs measures how it lands, and the program turns the data into coaching. Here's what each pillar looks like day to day.

01

The AI Kit

A library of reusable AI skills our engineers take into client work. The kit automates the full dev cycle and builds verification in evals and test gates - not just code review.

  • Skills that carry whole workflows, including larger multi-step projects
  • Verification wired into the loop, not bolted on after
  • Versioned, used daily, and growing every week

The dev cycle, kit-automated

Every step ships with verification built in: evals and test gates, not just code review.

02

The Measurement Layer

Pheebs, our AI telemetry tool, captures engineer tool usage and behaviors from Claude Code, Cursor, and Codex sessions. It shows us how our kit gets used and how our engineers actually work with AI.

  • Session telemetry from Claude Code, Cursor, and Codex
  • Kit adoption tracked like product analytics
  • Real behavior, not self-reporting

One session, as Pheebs sees it

03

The Program

The practice that turns the data into growth. We run the kit as an internal product, with core metrics and a roadmap driven by the team's feedback. Group sessions cover what works, and the telemetry tells us who to coach on what.

  • The kit managed as a product: metrics, roadmap, feedback loop
  • Group sessions that evangelize the kit
  • Coaching with intention, guided by the telemetry

The kit, run as a product

  • Core metrics Skill reuse and adoption, read every window
  • Roadmap Prioritized by the team's feedback
  • Group sessions Coaching guided by data

Scale up your team today

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Product Engineers

Start building your team

Senior product engineers, AI-native, ready to join your stand-ups this sprint.

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Italo Pereira
Italo Pereira
Senior Frontend Engineer
React, TypeScript, Codex.
Gustavo Santos
Gustavo Santos
Senior Backend Engineer
Node.js, Python, Claude Code.
Rodrigo Santos
Rodrigo Santos
Senior Fullstack Engineer
TypeScript, Node.js, Cursor.
Carlos Barcelos
Carlos Barcelos
Senior Mobile Engineer
SwiftUI, Kotlin, Claude Code.
C Claude Code
C Codex
C Cursor
M MCP
T TypeScript
N Node.js
R React
P Python
P Playwright
A AWS
S SwiftUI
K Kotlin
G Golang
A Angular
C Claude Code
C Codex
C Cursor
M MCP
T TypeScript
N Node.js
R React
P Python
P Playwright
A AWS
S SwiftUI
K Kotlin
G Golang
A Angular