AI Pair | ForgedOps.AI
The WCS AI Triad

Stop Your AI Agents From Drifting.
Ship Like a Team of Three.

The exact JSON spec + Single-Source-of-Truth discipline that runs every multi-agent sprint inside ForgedOps.Ai — now packaged for operators running Claude + Codex + Gemini on real production work.

Built, battle-tested, and shipped inside the WCS Enterprise Suite. Used on live commercial-construction AI deploys worth $1,499/mo per client (Command Pro tier).

HUMAN OPERATOR (Justin) | ▼ GROK (Team Leader) ———— final approval gate | on every spec + deploy ▼ ┌─────────────────────────────────────┐ │ WCS AI TRIAD (Execution Bridge) │ │ │ │ Claude + Codex + Gemini │ │ (reason) (code) (content) │ └─────────────────────────────────────┘ | ▼ SSOT Spec in /.agents/tasks/ | ▼ Quarantine Lane (deferred): Manus

If You've Ever Watched Two AI Agents Undo Each Other's Work, You Already Know The Cost.

You open Claude in one window, Codex in another. You hand off a task. Claude rewrites the brief mid-stream. Codex interprets differently. Your files fork. Your tokens burn. Your day ends with three half-finished versions and zero shipped code.

This isn't a model problem. It's a discipline problem. Research shows 36% of all long-horizon agent failures trace directly to context and goal drift — not reasoning, not hallucination. The agents are fine. Your interface between them is broken.

The fix isn't a better prompt. It's a canonical task spec that every agent reads from disk before acting — a deterministic execution shell around probabilistic agents. 8 rules. One source of truth. Zero blind writes.

Everything We Use Internally — Nothing Withheld.

_SCHEMA.md v1.1.0

The 16-field doctrine. Flat, parseable, auditable. Covers task_id, write_scope, validation_commands, handoff_notes, and 12 more. Battle-tested on live AEO pillar deploys.

_TEMPLATE.json

The blank canonical spec. Drop it in .agents/tasks/, fill in your task, hand to Codex. First spec takes 10 minutes; every one after takes 3.

8 Operational Rules

Re-read-before-act, version bumps, explicit write scope, one-way status transitions, no blind writes, second-agent review. The same governance pattern enterprise platforms enforce at the infrastructure level — implemented as 8 human-readable rules at the file level.

Bridge Folder Structure

.agents/tasks/ + .agents/logs/ + .agents/diffs/ — git-tracked, collision-safe, and ready for n8n relay upgrade.

Codex CLI One-Liner

Exact command you paste to execute any spec. Works with OpenAI Codex CLI, ChatGPT Codex agent, or Claude Code CLI's sub-agent mode.

Live Case Study: CoConstruct Migration

Watch the actual run — JSON spec → Codex execution → Claude validation → nuke-and-push deploy. End-to-end pairing in under 15 minutes.

Pick Your Entry Point.

Founding 25 Only
Spec Access
$497
  • _SCHEMA.md v1.1.0 file
  • _TEMPLATE.json canonical spec
  • Bridge folder structure
  • Founding operator pricing — removed after 25 buyers
Lock In — $497
Playbook (DIY)
$1,997
  • _SCHEMA.md v1.1.0 file
  • _TEMPLATE.json canonical spec
  • 60-min setup video (Claude + Codex CLI)
  • Private GitHub gist with bridge folder structure
  • Lifetime updates to schema versions
Buy Now — $1,997
Done-For-You
$4,997
  • Everything in Coached
  • We build your .agents/tasks/ folder
  • We write your first 3 production specs
  • We wire your first n8n relay (Pattern C)
  • 60-day guarantee: ship 5 specs or full refund
Book DFY Intake — $4,997
Enterprise / Team
$9,997
  • Everything in Done-For-You
  • 5-seat team license
  • Internal training session (2 hrs)
  • 30-day dedicated Slack support
  • Custom schema extension for your stack
Request Enterprise Quote →

Who This Is For (And Not For)

Built For

  • Solo founders running Claude + Codex on production
  • AI-native agencies managing 3+ clients in parallel
  • Engineering leads who lost 40+ hrs last month to agent drift
  • Operators who already know prompting isn't the bottleneck

Not For

  • Casual users who run one AI at a time
  • Teams with zero custom workflow yet
  • Anyone looking for a prompt pack — this is a discipline layer, not a prompt library
  • Teams unwilling to version-control their AI workflows

Questions Operators Actually Ask

How is this different from just writing a good prompt?

A prompt lives in chat. A spec lives on disk, gets versioned, gets read by every agent fresh, and survives context compaction. Prompts don't compound. Specs do.

Do I need both Claude and Codex to use this?

No. The protocol works for any multi-agent workflow — Claude + ChatGPT, Claude + Cursor, Claude + local LLM, Claude + Claude (sub-agents). The schema is agent-agnostic.

Will this work with Claude Code CLI?

Yes — .agents/tasks/ is already the convention Claude Code uses for skills. The playbook drops in cleanly.

What if my team is non-technical?

The Done-For-You tier is built for you. We set up the folder, write the first 3 specs, and train your ops lead.

Refund policy?

DIY: no refunds (you get the files immediately). Coached: 14-day full refund. DFY: 60-day ship-or-refund guarantee.

When do I get the files?

Immediately after Stripe confirmation. Automated delivery via email with GitHub gist link.

Drift Kills Sprints. Discipline Ships Product.

Stop inventing your own handoff protocol in the middle of a deploy. Get the one that already works.

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