🧠
×
⚡
Team Workflow — 2026

Claude meets Codex

How our development team uses two AI assistants working together to plan, review, and build software faster — with you in control at every step.

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The Challenge

Why one AI assistant
isn't enough

The old way What went wrong
One AI plans and reviews its own work ⚠ Like asking someone to proofread their own essay — blind spots everywhere
Everything happens one task at a time ⚠ Slow. Tasks that could run simultaneously are forced to wait
No human checkpoint before code runs ⚠ The AI could start executing before anyone reviews the plan
No visibility into what's happening ⚠ Team has no idea which tasks are done, running, or blocked
The Big Idea

Think of it like a
design firm

🏛️ Architect + Structural Engineer
Claude is the architect. Creative, big-picture, plans the whole building.
Codex is the structural engineer. Reviews the drawings, finds what won't hold up.

They go back and forth until the plan is solid.
Then you approve it — and only then does construction begin.

If a wing of the building can be built independently, a separate crew starts it in parallel rather than waiting for the main team to finish.
How It Works

The 6-step pipeline

1
Claude plans the task
Reads the codebase and breaks the work into a structured plan document
Claude 🧠
2
Codex reviews the plan
Looks for gaps, security risks, and missing edge cases — independently
Codex ⚡
3
They refine it together
Claude updates the plan, Codex reviews again — up to 3 rounds
Both 🤝
4
You approve (or reject)
Nothing runs until a human signs off. Type /approve or /reject with feedback
You ✋
5
Execution begins on /go
Claude spawns specialist sub-teams, each working on their own piece
Claude 🚀
6
Track progress live
Type /progress-report to see a live dashboard of all tasks
All 📊
The Two AIs Explained

Different strengths,
one team

🧠
Claude Code
Best at planning, understanding the big picture, and coordinating across many files.

Acts as the project lead — assigns work, tracks the overall vision, and spawns sub-teams.
⚡
Codex CLI
Best at reviewing plans defensively and running independent tasks safely in a sandboxed environment.

Acts as the quality engineer — challenges assumptions, finds what Claude missed.
👤
You (the human)
The decision maker. The pipeline physically cannot proceed to execution without your approval.

You approve, reject, or redirect — the AIs do the labor.
What You Gain

Real benefits for
your team

🎯
Better plans, fewer surprises
Two AIs with different perspectives catch issues before a single line of code is written
⚡
Parallel work — faster delivery
Independent tasks run simultaneously. What took 4 days sequentially can finish in 1
🔒
You stay in control
A hard gate prevents any execution without human approval — not just a warning, a physical block
📊
Full visibility
/progress-report shows every task status in real time. No more "what is the team working on?"
🗂️
Complete audit trail
Every action is logged. Every task completion creates a checkpoint you can roll back to
📈
Developer focus on hard problems
Boilerplate, repetitive tasks, and documentation handed off to agents. Devs focus on architecture
What to Watch Out For

Being honest about
the limitations

💬
The AIs can disagree with each other
Claude and Codex may suggest different approaches. When they can't resolve it in 3 rounds, a human needs to decide — and that's by design, not a bug.
💰
It costs more than a single AI call
Running two AIs in a review loop uses more API credits. We use smarter model routing (cheaper models for simpler tasks) to keep costs reasonable.
🔑
Your code leaves your machine
Both Claude and Codex send code to Anthropic and OpenAI respectively. Reviewed against both data policies. Not suitable for NDA-protected code without legal sign-off.
🛡️
Security patches are required
A vulnerability in agentic AI workflows was identified in early 2026 and patched. We keep both tools updated and run Codex in a sandboxed environment at all times.
Why This Matters Now

The industry is moving
fast

1,445%
surge in multi-agent inquiries
Q1 2024 → Q2 2025
40%
of enterprise apps will use
task-specific agents by end 2026
vs 5%
that used them
in 2025
The industry shift from a single powerful agent to orchestrated teams of specialists mirrors exactly what software engineering did a decade ago — from monolithic apps to microservices. Teams that adopt this now build the muscle memory before it becomes standard practice.
Summary

The three things to
remember

🤝
Two brains are better than one
Claude plans optimistically. Codex reviews defensively. Their disagreement produces plans far stronger than either alone.
✋
You're always in control
The pipeline has a hard stop before execution. No code runs without a human approving the plan. This is enforced at the system level.
📊
Full transparency, always
Every action is logged. Every task is tracked. /progress-report gives a live view of the entire pipeline at any moment.
Questions? Ask the team · Full technical documentation available on request