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Routing Tables for Content and Data Agents

field note4 min read

Coding already has a lane table in my stack (OpenRouter + Cursor). Content and data agents need the same discipline, different fixtures.

This post gives routing tables you can adapt — not vendor lock-in. Plug model IDs from your gateway, allowlist, or local roster after a model watch. Backdrop: Note 002 (A–D classes).

Series hub: Agent cost & model selection.

Shared rules (all domains)

  1. Classify the task before picking a model (A–D).
  2. Producer ≠ critic when quality matters.
  3. Class D (external / irreversible) always has a human gate.
  4. Promote/demote from evidence, not vibes (failure-priced ROI).

Model names below are placeholders for tiers. Replace with whatever your watch currently crowns.

Tier label Intent
T-free Free / tiny — high volume, low stakes
T-cheap Low $/1M — structured production
T-mid Stronger reasoning / longer context
T-strong Frontier-ish for critique or hard judgment
T-human Not a model — approval required

Content agents

Roles I actually run in some form: brief / research, draft, critique, social cut, publish path (€35 content org).

Content routing table

Task Class Role Tier Notes
Keyword / angle triage from analytics A Researcher T-free High volume; wrong picks are cheap to discard
Source skim + bullet brief A–B Researcher T-cheap Demand citations / URLs in schema
First draft (known voice, known outline) B Writer T-cheapT-mid Mid if long-form or multi-source
Headline / meta variants A Writer T-free Generate many; human or critic picks
Voice / factual critique of draft C Critic T-strong (≠ writer) Planted-error tests in watch battery
Internal links + FAQ suggestions B Writer T-cheap Schema-constrained JSON
Social / newsletter cut-down B Writer T-cheap Separate prompt pack per channel
Publish / push live D Publisher T-human (+ optional T-mid for PR text) Never auto-publish on free models

Content anti-patterns

  • One mega-prompt that researches, writes, and “publishes”
  • Critic = same model as writer with “please be critical”
  • Class A models inventing citations (fail the brief schema hard)

Data agents

Roles: ingest watcher, transform author, SQL/check author, anomaly narrator, pipeline operator.

Data routing table

Task Class Role Tier Notes
Classify incoming file / event type A Watcher T-free Deterministic rules first; LLM only for leftovers
Draft dbt/SQL from a clear spec B Transformer T-cheapT-mid Always run in warehouse / CI
Explain a query plan in plain language A Narrator T-free
Propose test assertions from schema B Tester T-cheap Human merges tests
Critique a migration / breaking change C Critic T-strong Diff + “what breaks downstream?”
Anomaly narrative from metrics B Narrator T-mid Numbers in context beat vibes
Execute destructive DDL / prod backfill D Operator T-human Model may draft the plan only
On-call summary for humans B Narrator T-cheap Link to runbooks; no silent “fixed”

Data anti-patterns

  • LLM as source of truth for row counts (verify with SQL)
  • Auto-apply migrations from any tier
  • Skipping critic on anything that touches prod schemas

How to wire this without drama

  1. Put each table in a skill / system prompt / Paperclip role doc.
  2. Map T-* → concrete model IDs in one place (router config or markdown roster).
  3. Run the eval fixture pack when you change a mapping.
  4. Log spend per role weekly; demote lanes that burn human hours.

One-week experiment

  • Pick one content workflow and one data workflow.
  • Enforce the table for seven days.
  • Compare outcomes / € to the week before (ROI sketch).

If you want help installing this as policy inside a Company OS-shaped stack: /hire · /agentic-engineer-stockholm.

Tools Used in This Article

This article mentions several tools from my tech stack.