AYSystems folio / 2026 Available for principal AI roles ↗
04 / AI SaaS ProductLive product

PillarQuillAgentic Content OS

RESEARCHSTRATEGYCREATEPUBLISH CONTENT LOOP
My roleFounder + Product / AI Architect
ContextCreators and agencies
System classAI SaaS Product
Portfolio evidenceArchitecture · decisions · production
01 / Brief

The problem

Creators and agencies do not have a “generation” problem alone. They have a fragmented operating process: research, positioning, drafting, approval, scheduling, publishing and learning live in different tools and lose context at every handoff.

Open live studio

02 / Constraints

Why it was hard

01The first product wedge is LinkedIn, but the domain model must extend to Instagram, YouTube and X.
02Content state, calendar, analytics and platform connection state must persist independently of any model provider.
03B2C creators and B2B agencies need different approval and multi-brand workflows.
04Agent output must remain editable, explainable and connected to source research.
03 / Architecture

System shape

The architecture is expressed as operational layers: experience and identity at the edge, bounded orchestration in the middle, governed data and tools underneath, and evidence across the entire path.

PillarQuill / logical architectureSanitized portfolio view
01ResearchSignals, sources, audience
02StrategyPillars, angle, campaign
03CreationDraft, critique, compliance
04OperationsCalendar, approvals, publish
05LearningAnalytics, feedback, memory
04 / Decisions

The engineering judgment

01

Model the content lifecycle, not the prompt

Persistent content objects and workflow states make the product useful beyond a single generation call.

02

Agents collaborate around explicit artifacts

Research, brief, draft, review and channel adaptation are inspectable outputs with ownership and history.

03

Publishing integrations are adapters

Channel-specific APIs are isolated from the core content model so the workflow can expand without rewrites.

04

Analytics closes the loop

Performance signals update future recommendations and content strategy instead of living in a detached dashboard.

05 / Production

Hardening the system

01Multi-tenant ownership and workspace boundaries.
02Asynchronous generation and publishing jobs with retry/idempotency.
03Connection state and token refresh for social integrations.
04Audit/history for drafts, approvals and scheduled actions.
05Cost and usage tracking across agent workflows.
Product architectureAgent workflowsFastAPIMulti-tenant SaaSRedisCelerySocial integrationsContent intelligenceAnalyticsWorkflow stateFounder execution
06 / Outcome

A live product organized around the entire content operation, not another isolated AI writing box.

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