Platform · Infrastructure
Battle-tested growth workflows, automated end to end.
The thesis
The difference between $10M and $100M brands is rarely talent. It is the operating system. Playbooks codify the workflows that compound at the top end, so a solo founder runs the same lifecycle a 40-person growth team runs, without the headcount.
What it does
Each capability is wired into the same data model and shared by every agent. Nothing here is a side feature; the platform is the product.
First-touch flow tuned to source and product affinity. Email, on-site, ad retargeting coordinated end-to-end.
Abandonment with offer escalation, channel orchestration, frequency caps. One playbook, multiple agents executing in sync.
Pre-launch waitlist, launch-day orchestration, post-launch attribution. The Black Friday and product-drop muscle, on demand.
Replenishment, upsell, reviews, referral. The flywheel mature brands build over years, available on day one.
Bring your own playbook. The engine treats your workflow as a first-class object, not a slide in a deck.
Every architectural decision here reflects a strong opinion about what makes AI useful inside a real growth team, not what makes a demo land.
Belief 01
A point tool gives you a feature. A playbook gives you an outcome. Mature operators know which workflows compound and how they sequence.
Belief 02
The trick was never sending the welcome email. It was making the welcome email, the on-site experience, and the ad retargeting agree with each other. Playbooks fix the coordination problem.
Belief 03
Most brands ship a workflow once, then leave it untouched for years. Spectrum playbooks are continuously tuned by the agents running them.
How the agents use it
Playbooks is shared infrastructure. Every agent reads from it, so the work each one ships is consistent with everything else moving through the store.
Operations Agent
Owns the playbook runtime, coordinates handoffs, surfaces breakage.
Creative Agent
Generates the assets each playbook step needs, in voice.
CRO Agent
Continuously tunes the conversion-relevant steps inside each playbook.
Analytics Agent
Measures playbook contribution, attributes outcomes back to steps.
Merchandising Agent
Surfaces the right products inside the right step of the right playbook.
In one line
Playbooks are how you stop running your business on tribal knowledge and start running it on an operating system.
How the platform behaves
Agents read from structured, retrievable context. Prompts can lie about what an AI knows. A graph cannot.
Every agent queries the same data layer. No copies, no divergence, no silent disagreements between tools.
The platform tunes itself as the catalogue, audience, and market move. Static defaults rot fast.
Every action ties back to the context it read and the data it saw. Nothing the agents do is a black box.
The rest of the platform
Brand Context Engine
Your brand's memory, always at hand for every agent.
Unified Data Platform
Shopify, Meta, Google, Klaviyo and clickstream, tied to every customer.
Personalisation & Experimentation Engine
The right experience for every visitor, without code changes.
Inspiration Libraries
Curated creative and merchandising references your agents draw from.
A 20-minute walk-through. Real catalog, real data, the platform running against a duplicate of your live store.
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