What makes OuterEdge different from other AI consultancies?

We execute, not just advise. No 6-month strategy decks. No 200-slide presentations. We get to the punch line and ship real solutions. Our team combines enterprise strategy with startup speed.

How long does a typical engagement take?

Most strategy-to-MVP cycles take 4-8 weeks. We move at startup speed with enterprise rigor. Our process is designed to deliver tangible outcomes quickly, not drag on for months.

Do you work with startups or enterprises?

Both. We've helped pre-seed startups go from idea to launch, and we've transformed processes at organizations with 10,000+ employees. Our approach scales to your needs.

Can you work alongside our existing team?

Absolutely. We co-build, train, and transfer knowledge. Our goal is to make your team AI-native, not dependent on us. We integrate seamlessly with your existing workflows.

What if we're not sure where to start?

That's exactly what our Executive Survey and Process Audit are for. We'll find the highest-impact opportunities together and build a clear roadmap for transformation.

We offer outcome-based pricing, retainers, and project-based engagements. Book a call and we'll find the right fit for your goals and budget.

How to Ship AI Agents Without Touching Your Keyboard

The age of coding-optional software development is here. But most teams are doing it wrong.

The Problem

Most engineers treat AI coding assistants like autocomplete on steroids. They type, the AI suggests, they accept or reject. This is leaving 90% of the value on the table.

The 2-File System

After shipping dozens of AI-assisted projects, we've refined a system that turns Claude, GPT-4, and other LLMs into reliable junior engineers:

File 1: PROJECT_BRIEF.md

This is your source of truth. It contains:

Project overview and goals

Tech stack decisions

Architecture decisions

API contracts

Database schemas

File 2: CURRENT_TASK.md

This is your working document. It contains:

The specific task at hand

Acceptance criteria

Edge cases to handle

Files that will be modified

The Workflow

1. Start with the brief - Feed PROJECT_BRIEF.md to your AI assistant at the start of every session

2. Define the task - Write a clear CURRENT_TASK.md with specific acceptance criteria

3. Let it cook - The AI generates code based on full context

4. Review, don't rewrite - Your job is to review and guide, not write from scratch

Results

Teams using this system report:

3-5x faster feature development

Fewer bugs (AI doesn't get tired or distracted)

Better documentation (the brief stays updated)

Junior engineers shipping senior-level code

Get Started

The key insight: treat AI like a junior engineer who needs clear instructions but can execute flawlessly. The better your brief, the better the output.

Want help implementing this system in your organization? Book a strategy call with our team.