🚀 Enrolling 10 AI Leads for the January 2026 Founding Cohort of the Context Engineering Accelerator
UK/EU B2B SaaS teams · Limited seats · Application-based · Hands-on support
Unified Context Layer (UCL) Accelerator
Install your Unified Context Layer and operate as a Level-5 AI organization in 90 days.
A 9-step implementation program that helps your Forward Deployed Context Manager (FDCM) install your Unified Context Layer, deploy your Team of Six agent roles, and run your first intelligence sprints. This is how organizations move from AI experimentation to reliable, context-aware execution.
Most companies are stuck as AI consumers. This program turns you into an AI operator — building the structured context that reliable agents, coding assistants, and workflows require.
Founding member pricing is currently $1,500 per FDCM (regular price: $10,000).
Note: Your FDCM (Forward Deployed Context Manager) is simply the person you choose to lead the implementation — a founder, product lead, operator, or AI lead. No technical background required. The FDCM becomes your internal expert in Context Engineering — the new career path emerging inside AI-native organizations.
What the Context Accelerator Does
The Context Accelerator is a guided implementation program that helps you complete the full 9-step Unified Context Layer transformation inside your own business. You bring the project and the FDCM. We bring the method, structure, and support.
By the end, you'll have a working Unified Context Layer, a deployed Team of Six agent architecture, and a repeatable sprint rhythm that keeps your AI systems aligned with real-world goals.
Why Work on Your UCL?
The Unified Context Layer is the foundation for reliable AI execution. It reduces all nine failure symptoms — inaccurate responses, drift, poor reasoning, biased outputs, workflow breakdowns, trust erosion, and governance risk — by giving your AI systems a coherent, structured representation of how your business actually works.
But the UCL does more than prevent problems. It becomes the engine that drives SaaS-style scale:
- Higher reach through consistent, on-brand content generation
- Stronger market positioning and clearer differentiation
- More compelling transformation flows for customers
- Sharper business model clarity and better scenario planning
- More reliable agents and workflows, reducing overhead
- Faster, more confident execution across teams
By the end of the Accelerator, your team will have a portable, machine-readable business dataset (PDF, YAML, Markdown, JSON, or your internal systems) — meaning no platform lock-in. You gain a durable execution asset that compounds over time, enabling cost savings, faster growth, and a more scalable AI-native business model.
Your UCL becomes the intelligence layer that sits between your business and your AI systems — the difference between experimenting with AI and using it to scale.
To learn more about the UCL and mission, please see the Executive Summary.
The 9-Step UCL Transformation You'll Implement
The Accelerator walks your FDCM through three stages of work: Foundations, System Installation, and Scale.
Stage 1 · Foundations
Clarity & Ownership
1. Define A → B Transformation
Clarify your starting point, the opportunity you’re targeting, and a measurable improvement metric (revenue, productivity, reliability, churn, etc.).
2. Assign Your FDCM
Choose the person who will own context for the opportunity, run sprints, and steward your UCL internally. Learn about the FDCM role here.
3. Build VDD + Project GPT
Develop your Vision Definition Document (VDD), export it, and stand up your first project GPT. Test the GPT's understanding of your business model.
Stage 2 · System Installation
Build the UCL via Sprints
4. Run Sprint 1: Positioning
Develop your Extended Definition Document (XDD) by refining key attributes of your offer, solution, business constraints, and success gates.
5. Run Sprint 2: Build & Sell
Develop your System Context Document (SCD) defining requirements and core processes. Establish the rules and logic your AI systems must follow.
6. Run Sprints 3 & 4: Operate & Hybrid
Develop your Execution Metadata Document (EMD) mapping operational constraints and fast iteration cycles. Close gaps and finalize your UCL structure.
Stage 3 · Scale
Deploy, Monitor, Improve
7. Deploy Operational GPTs On the UCL
Connect UCL to coding assistants, bots, content tools, or workflows. Monitor behavior, drift, and team feedback. Investigate and optimize fast.
8. Deploy the Team of Six (TOS) Agents
Activate Monetization, Demand, Revenue, Systems, Operations, Capital agents. Each maintains and strengthens the UCL. Your Level-5 AI-OS goes live.
9. Review, Iterate, & Extend
Capture lessons and reliability improvements. Identify new opportunities for UCL deployment. Extend the model across teams, products, or units.
Stage 1 · Result
You have fully defined the opportunity with exact messaging. A dedicated FDCM in place to drive execution. Your first context-aware Project GPT is running. Your team experiences its first tangible win from structured context. Foundations are in place.
Stage 2 · Result
Your UCL exists as a structured, exportable business dataset. It can power coding agents, support agents, decision engines, and custom GPTs. Core buisiness logic, workflows, rules, and assumptions are unified. A consistent UCL sprint cadence is in place.
Stage 3 · Result
Your FDCM now has a repeatable playbook for installing the UCL and achieving Level-5 AI reliability across the organization. Continuous improvement, governance, and cross-team replication are now built into the operating model — not bolted on.
Who This Program Is For (and Not For)
Clarity up front ensures the Accelerator becomes a force multiplier for the right teams.
Who It’s For
- SaaS teams in UK/EU (30–80 employees)
- Engineering-led organizations
- CTOs, AI Leads, Product Leads
- Teams struggling with drift, inconsistency, or agent reliability
- Leaders who want a repeatable AI operating model
Who It’s Not For
- Teams looking for a prompts-only solution
- Companies not ready to assign an internal FDCM
- Organizations without a clear opportunity to target
What's Included When You Enroll
The Context Accelerator is designed so you can implement the method while staying focused on your real business priorities.
Live Support & Guidance
- • Weekly live group calls focused on implementation.
- • Q&A and office hours for your specific UCL questions.
- • Support for your FDCM as they step into the role internally.
Templates, Reviews & Assets
- • VDD, XDD, SCD, and EMD templates inside VisionList.
- • Review cycles on your UCL drafts.
- • Team of Six logic patterns and example agent prompts/GPT setups.
Practical AI Deployment
- • Guidance on exporting your UCL in AI-ready formats.
- • Help building your first UCL-powered GPT(s).
- • Suggestions for connecting agents to your actual workflows.
Community & Future Path
- • Access to a private FDCM/Accelerator community.
- • Priority consideration for future FDCM certification.
- • Early access to new VisionList features and frameworks.
Pricing & Guarantee
The Accelerator is priced per FDCM, so ownership remains inside your organization while you get hands-on support installing the system.
As a founding member, you can enroll at $1,500 per FDCM (regular price: $10,000).
Our Commttment to You
The Accelerator follows a "start-anytime" 9-week implementation plan, with the understanding that every team progresses at their own pace.
While we cannot guarantee revenue, we can guarantee:
- • You will ship your first Project GPT in Stage 1
- • You will complete UCL v1.0 by the end of Stage 2
- • Your team will understand how to operate as a Level-5 AI organization using the UCL
Support Guarantee: We will continue to support your FDCM and team for as long as it takes to achieve these outcomes — the UCL installed, agents operating reliably, and your organization running the Level-5 AI operating model.
Enroll Now
Ready to install your Unified Context Layer, deploy your Team of Six, and become AI-native?
Founding Cohort · Only 10 Seats · Launching Jan 2, 2026
You'll be redirected to a secure order page with a checklist of what's included and the guarantee summary.
One seat = one FDCM. If you want multiple FDCMs trained within your organization, contact us for multi-seat options.