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Shore AIShore AI Consulting

1-week pilot brief

AI-native engineering that proves itself in production

A focused pilot for product teams under backlog pressure. We take a scoped feature, workflow, integration, or technical improvement through implementation, tests, review, documentation, and handoff inside your existing engineering process.

Monday-Friday delivery loop

A bounded production workstream moves through the same gates your team already trusts.

Scope to shipped evidence

Mon

Scope

Choose the production workstream, acceptance criteria, repo context, and review owner.

Tue-Wed

Build

Implement the highest-value path using AI-assisted exploration, patches, and tests.

Thu

Verify

Run checks, harden edge cases, document tradeoffs, and capture QA notes.

Fri

Review

Prepare the PR context, respond to review, and keep normal quality gates intact.

Fri

Ship

Merge, stage, or demo the work, then hand off the repeatable workflow.

What gets delivered

The output is concrete enough for engineering to inspect and small enough for leadership to evaluate quickly.

Merged or merge-ready PR
Automated tests and QA notes
Deployment or staging support
Implementation docs and handoff
Reusable AI-native workflow playbook

Why this is different

This is not a workshop, broad AI transformation program, or extra pair of generic development hands. It is a controlled proof point for whether the team can use AI-assisted engineering to move faster without lowering standards.

Principal-led execution

Thomas Mancini does the work directly. No junior handoff, staffing bench, or strategy-only layer.

Repo-level proof

The pilot happens inside the existing codebase and process so the team can judge real output.

Works beside AI playbooks

Useful when investors or operators already have strategy and need a hands-on execution layer.

Boundaries that keep the pilot safe

Your code, your data

Work happens in your repos and environments. You retain all IP.

Least-privilege access

Scoped access, normal audit trails, and access removal after the pilot.

Transparent by default

Progress, decisions, tradeoffs, and changes are visible throughout.

Review stays intact

Production changes stay behind normal PR, QA, and release gates.

How to use this pilot

Use it when a founder, CTO, PM, board member, or investor needs evidence before asking the broader engineering team to change how it works.

Thomas Mancini | thomas@shoreaiconsulting.com | https://www.shoreaiconsulting.com/ai-native-engineering