Today — one workload
- Manuscript processing: hundreds of agents extracting fields, ~$20 a manuscript
- Powerful, but ad hoc — no shared components, no evaluation gate, no cost attribution
- Each new idea starts from scratch; value is trapped in a single use case
➞
Tomorrow — a platform + a data moat
- Same architecture (LLM gateway · MCP · RAG · evaluators) pointed at many anthologies
- A major publisher's proprietary anthology — manuscripts, sales, metadata, reader data — as defensible advantage
- Any team composes new agentic workflows; measured in business outcomes, not "agents shipped"
Where it extends — the publishing value chain (same platform, many workloads)
Acquisition & Editorial
- Comp-title & market-fit scoring
- Slush-pile triage
- Continuity & fact-check
- Developmental-edit support
Judgment support
Metadata & Discoverability
- BISAC categories & keywords
- Jacket / marketing copy
- Comp-title suggestions
- Catalog enrichment
Highest-ROI · low-risk start
Production & Localization
- Copyedit / proof assist
- Format: print → ebook → audio
- Translation & localization
- Supports UK & Spain teams
Throughput
Sales, Marketing & Supply
- Demand forecast & print-run
- Returns reduction
- Backlist activation
- A/B marketing copy
Touches the P&L
Rights, Royalties & Contracts
- Contract & rights analysis
- Subsidiary-rights matching
- Royalty-statement processing
- Clause & obligation extraction
Risk & revenue
How the capability matures — the real work of "owning it"
Level 1 · Today
Ad hoc
Manuscript agents in production. No evaluation, no observability, no cost attribution.
Level 2
Platform components
Reusable MCP servers & an agent/skill library. New workloads compose from tested parts — not rebuilt.
Level 3
Quality & trust
Golden datasets + eval harness as a release gate. Per-inference tracing = audit trail for Zafer + cost ledger.
Level 4
Self-service & governed
Golden paths, model routing/fallback, drift monitoring, token FinOps. Internal teams as customers with SLAs.
Level 5
Compounding advantage
RAG + selective fine-tuning on the proprietary anthology. Human-in-the-loop feedback captured as training signal.