Agent briefings
Task structures with goal, scope, protected areas and acceptance criteria — so the agent understands what it may change.
Product · Coordinate the AI team
AI Orchestrator Kit
Steer Claude, Codex & co. with clear tasks, QA gates and protection rules — instead of letting several agents run blind.
Roles, model routing and repo gates as Markdown files — vendor-neutral, usable with any AI tool.
- One-time payment
- No subscription
- v1.x updates included
- ZIP download after confirmed payment
- Ready to use
What you get, concretely
The building blocks for clean AI-agent work.
QA and review gates
Checklists and gates so work is reviewed before it counts as done — instead of merely sounding plausible.
Protected-area rules
Clear boundaries for risky areas like payment, env, auth or database. The AI proposes; you keep the approval.
Model routing
Which task fits which model and mode — starting from the smallest sensible mode upward.
Branch & release workflow
Patterns for clean branches, merges and releases instead of blind quick shots.
Handoff & report structure
Handoffs with changed files, review state and the next recommendation — instead of a vague “done”.
What it gives you
What changes about your AI-agent work.
- Better agent execution through clear, scoped tasks.
- Fewer faulty merges and blind-flight releases.
- Cleaner handoffs between tools and sessions.
- Less manual control chaos.
- More consistent outcomes across multiple agents.
What it saves you
Where rework and blind flight disappear.
- Saves repeat briefings — you do not rebuild every task.
- Reduces rework from unreviewed or overly broad agent work.
- Cuts unnecessary tool and token loops through clear routing.
- Prevents costly false starts in protected areas — but does not replace your approval.
Ready to steer your AI agents cleanly?
One-time payment, no subscription, ZIP download after confirmed payment.
Compare
One layer, the other, or both as one.
The Founder Kit runs the project. The Orchestrator Kit runs the AI team. The Operating System is the complete system that keeps both in sync.
| Capability | Founder Kit | Orchestrator Kit | AI Founder Operating System Complete system |
|---|---|---|---|
| Project context | Included | Not included | Included |
| Decisions and roadmap | Included | Not included | Included |
| Tasks and handoffs | Included | Shared | Included |
| Quality gates | Included | Partial | Included |
| AI role matrix | Not included | Included | Included |
| Model routing | Not included | Included | Included |
| Repo / worktree safety | Not included | Included | Included |
| Review and verification | Not included | Included | Included |
| Integrated end-to-end loop Bundle only | Not included | Not included | Included |
| Sample project Bundle only | Not included | Not included | Included |
| Typical setup | 1 tool | 1–2 tools | 2–3 tools + Operator |
| Orchestration scope | Project layer | Coordination & routing | End-to-end loop |
| Best for | Running the project | Coordinating the AI team | Both, kept in sync |
| Current status | Available | Available | Available |
- Project context
- Included
- Decisions and roadmap
- Included
- Tasks and handoffs
- Included
- Quality gates
- Included
- AI role matrix
- Not included
- Model routing
- Not included
- Repo / worktree safety
- Not included
- Review and verification
- Not included
- Integrated end-to-end loop
- Not included
- Sample project
- Not included
- Typical setup
- 1 tool
- Orchestration scope
- Project layer
- Best for
- Running the project
- Current status
- Available
- Project context
- Not included
- Decisions and roadmap
- Not included
- Tasks and handoffs
- Shared
- Quality gates
- Partial
- AI role matrix
- Included
- Model routing
- Included
- Repo / worktree safety
- Included
- Review and verification
- Included
- Integrated end-to-end loop
- Not included
- Sample project
- Not included
- Typical setup
- 1–2 tools
- Orchestration scope
- Coordination & routing
- Best for
- Coordinating the AI team
- Current status
- Available
- Project context
- Included
- Decisions and roadmap
- Included
- Tasks and handoffs
- Included
- Quality gates
- Included
- AI role matrix
- Included
- Model routing
- Included
- Repo / worktree safety
- Included
- Review and verification
- Included
- Integrated end-to-end loop
- Included
- Sample project
- Included
- Typical setup
- 2–3 tools + Operator
- Orchestration scope
- End-to-end loop
- Best for
- Both, kept in sync
- Current status
- Available
The three workflow packages are available as version 1.1.1. AI Operator Bridge is a separate local tool package.
Every package works with one tool. The tool count is a recommendation, not a requirement.
The system around the package
AI Orchestrator is a founder/operator system
Not just templates, but one way of working: find work, prepare the AI task, check the result, remember the decision. Guides, agent briefings, QA and release routines — plus the local operator workflow the package is built around. Five building blocks that fit together.
-
Founder Operating System
The layer that keeps project and AI team in sync.
- Decisions, scope and priorities in one traceable place.
- A clear execution order instead of random prompting.
- Context stays intact across sessions and models.
-
Local Operator Bridge
The core local tool: it does the operator work around your AI agents — not a web service on this page.
- Prepares tasks, generates handoffs and reviews agent reports locally.
- Detects protected areas and flags risky changes before you approve.
- A copy-ready report for Claude or Codex instead of screenshot chaos.
- Secrets stay local and are not copied into the report.
-
Founder SEO Tool
An SEO-first tool with an AI Answer Readiness module — the first workflow that feeds AI Bridge.
- Standard SEO audit plus an AI Answer Block Scanner for definitions, steps and comparison/Q&A structure.
- Gives priorities, before/after suggestions and a copy-paste handoff — exportable as an AI Bridge task.
- No ranking promise — analysis and next steps, not a visibility score.
-
Agent Briefing System
Structured tasks for Claude, Codex and other agents.
- Goal, scope, protected areas and acceptance criteria per task.
- Protected files an agent must not touch.
- QA and handoff reports instead of a vague “done”.
-
Release & QA Workflow
The routine before every step that goes outward.
- Preflight and a protected diff before anything changes.
- Live smoke checks after shipping.
- No live money action without an explicit gate and your confirmation.
The Operator Bridge and Founder SEO Tool are part of the operator workflow around the package and support working with it — they are not files inside the product ZIP. Local tools run on your machine; this page explains the way of working.
What you actually receive after buying
Included
- Downloadable package files as a ZIP.
- Markdown documents, templates, checklists and agent briefings.
- Clear workflow instructions.
Not included
- No subscription.
- No cloud dashboard and no account.
- No live credentials.
- No automatic deployment.
- No Operator Bridge app inside the ZIP.
- No Founder SEO Tool app inside the ZIP.
The value is not just in files, but in the structure: tasks, decisions, QA and safe handoffs to agents.
System vs. download
The ZIP is what you buy and download today. The operator system is how the package is meant to be used. AI Operator Bridge is the core local tool that does the operator work around your AI agents; the Founder SEO Tool is the first connected workflow — it finds SEO work and turns it into an AI Bridge task. Future add-ons could package them separately.
What it answers
The questions a multi-tool AI setup keeps asking.
What is AI orchestration?
Treating several AI tools as a team with defined roles, routing, boundaries and handoffs — instead of one chat doing everything.
Why isn’t a single chat enough?
One thread loses context, mixes concerns and has no rules for who does what or when to stop. Coordination needs structure.
How do ChatGPT, Claude and Codex combine?
Each takes the roles it suits — strategy, implementation, or scoped verification — under shared routing and handoff rules.
How is a task routed?
A task is scoped, classified, and sent to the tool, model and reasoning mode that can safely solve it.
How do you choose model and mode?
A decision model maps task type to the smallest reasoning mode that still solves it safely — not the most expensive one by default.
How do you prevent repo conflicts?
Repo gates and worktree rules isolate parallel work so agents don’t overwrite each other.
How do handoffs work?
Verified results are passed forward in structured handoff files so the next agent continues from a known state.
When must an agent stop?
Stop rules define explicit conditions — missing context, scope conflict, risky action — where pausing beats guessing.
Your setup
From one tool to a full orchestra
The Orchestrator Kit already works with a single tool: you route between roles and modes instead of between tools. Add a second tool and you cleanly separate building from review. With three tools plus you as Operator it becomes a full orchestra. You grow step by step — without relearning anything.
- Strategy/research sets direction and options
- Implementation builds within a defined scope
- Review/QA checks independently
- Operator (you) decides and approves
You choose which tool plays which role. This split is a recommended way of working, not a fixed technical limit.
Why not just two Claude?
Two Claude can be completely enough. An additional tool mix only gets interesting when you need different roles, a more independent review, extra capacity, or a provider fallback.
What is actually inside · v1.1.1
The real files you add to your project.
These are the exact filenames in version 1.1.1 — rules, routing and coordination as files, not a hosted app. The ZIP is delivered after confirmed payment; short, real excerpts are shown in the product proof below.
AI Orchestrator Kit Coordinates the AI team.
Entry points
-
START_HERE_FOR_HUMAN.mdHuman orientation for the coordination layer. -
START_HERE_FOR_AI.mdBinding instructions an agent reads before acting.
Roles & routing
-
AI_ROLE_MATRIX.mdWhich AI takes which role, with separation of duties. -
MODEL_ROUTING.mdHow to choose a tool and model for a task. -
MODE_SELECTION.mdThe smallest reasoning mode that safely solves it. -
TASK_ROUTING.mdHow a raw task is shaped, scoped and sent. -
RESOURCE_POLICY.mdDeliberate use of expensive modes.
Repository safety
-
REPO_GATE.mdPre-change checks that protect the repository. -
WORKTREE_POLICY.mdIsolating parallel work so agents do not collide. -
CONFLICT_PREVENTION.mdKeeping parallel agents off the same files.
Coordination & history
-
HANDOFF_PROTOCOL.mdHow one agent passes verified work to the next. -
REVIEW_AND_VERIFICATION.mdHow results are reviewed and independently verified. -
ESCALATION_RULES.mdWhen to escalate to a stronger model or a human. -
STOP_RULES.mdWhen an agent must stop rather than continue. -
TASK_HISTORY.mdAppend-only trail of routed tasks and results. -
templates/Implementation, research, review, QA, handoff and stop-report formats.
Check before you buy
What is in the package — shown with real files.
Real excerpts from version 1.1.1: which file you open first, what a short start gives you, how the files work together, and what is deliberately not included.
What you download
How you receive and use version 1.1.1 — no app, no account, no cloud.
- Version
- 1.1.1
- Product format
- Digital ZIP archive
- Contents
- Markdown working files, templates and checklists; a completed sample project is included only in the bundle
- Language of the product files
- English — the site is bilingual, the kit files themselves are English
- Requirements
- A local project or repository and any editor; nothing to compile or install
- Delivery
- Download after confirmed payment plus an email with the access link
- Account required
- No — no cloud, no running online service
- Subscription
- No — a one-time purchase, no recurring fees or credits
- Updates
- All v1.x updates included; v2.0 is a separate product
What you open first
Three files are enough to start — in this order.
-
START_HERE_FOR_HUMAN.mdThe 15-minute start: route one task safely, without chaos. -
NAVIGATION.mdFrom your situation to the right file: give a task, hand off, roll back a mistake. -
AI_ROLE_MATRIX.mdMap the roles to the tools you actually have — at least an Implementer and a Reviewer.
Result after the quick start Roles, ownership, handoff and review rules are set — one task routed, implemented and independently reviewed.
Real file excerpts
An example model assignment.
- Strategy / sparring ChatGPT Direction, priorities, critical questions
- Long-form implementation / complex reasoning Claude Scoped implementation within the project’s rules
- Repository execution / tests / verification Codex Gates, checks and independent review
Fictional sample project — no real people or companies.
- An example assignment — not a ranking.
- Routing is fully adaptable.
- No automatic provider control.
From WHEN_TO_USE_MULTIPLE_AGENTS.md — one agent is the default.
One capable agent is the right default. Add agents only when a real constraint forces it.
Use one agent when the task fits one tool’s context and can be planned, implemented, and verified in one pass.
Use a sequential workflow when the work has distinct stages with a clean handoff: research → decide → implement → review.
You want separation of duties: the reviewer is a different tool/model than the implementer.
Real excerpt · shortened for the preview · full file in the package.
How the files work together
- Task Capture the raw task: goal, scope, protected files.
- Routing Pick role, model and mode (TASK_ROUTING / MODEL_ROUTING).
- Repo gate REPO_GATE.md: clean branch, known state — otherwise stop.
- Implement The implementer works in scope, stages only changed files.
- Review A different tool reviews independently (REVIEW_AND_VERIFICATION).
- Handoff AGENT_HANDOFF: what, files, verification, state, next step.
What is not included
So it is clear what you do yourself — nothing hidden.
- No automatic provider or model control
- No running service that executes agents for you
- No personal consulting and no success guarantee
- No API credits needed
Resource policy
Use the smallest mode that safely solves it.
Reasoning modes are a deliberate choice, not a default. The kit treats model and mode as a configurable decision model — availability and names vary by provider — so expensive modes are reserved for tasks that genuinely need them.