A marketing agent that ships publication-safe drafts at scale.
A 43-step pipeline writes across 15 channels, then eight deterministic gates block fabricated stats, AI-detection patterns, brand drift, and off-pillar topics before anything reaches a human editor.
Generic AI content tools optimize for volume. Publishing businesses care about three other things.
A marketing lead turns on an AI content tool. Week one the output looks great. Week six the blog is citing statistics that don't exist, the LinkedIn voice has drifted to generic SaaS, and an editor is spending ten hours a week reviewing drafts the tool promised would ship themselves.
The failures are boringly specific. A fabricated $5K stat in a client-facing post. Em-dash clustering and "no fluff" openers flagged by GPTZero. A piece on a topic the brand explicitly said it wouldn't cover. No traceable source when legal asks "where did this number come from?"
The root cause isn't the model. It's that there's no forced gate between "draft written" and "draft shipped" — no deterministic check that the stat exists, that the voice is on-brand, that the topic is in a declared pillar. When those checks don't happen before publishing, they happen later, in a retraction email or a legal review nobody enjoys.
The agent exists to make those eight checks unavoidable — and cheap enough that they run on every draft, not just the ones a human remembered to read.
43 steps. 8 gates. 8 crons. Every draft audited before a human reads it.
The model proposes. Deterministic systems dispose.
Content validation runs on regex, schema checks, HEAD requests, and tier-based scoring — not model judgment. Perplexity is scored locally via llama-cpp + Qwen3.5-9B so results are reproducible and the spend doesn't balloon with volume.
A mechanical fixer runs before the LLM does.
Banned phrases, em-dash clustering, hyphen compounds — all regex-fixable. The LLM only gets invoked for semantic problems the fixer can't handle. Token spend drops roughly 10× versus LLM-only pipelines for the same output quality.
Every step writes a file. Every gate reads from those files.
43 numbered markdown artifacts — positioning, personas, pillars, claims, magnets. If a draft cites a price, that number must live verbatim in 01-product-marketing-context.md. Fabrication stops being a policy and becomes structurally impossible.
Eight production crons take over once validation passes.
Writer drafts every 30 minutes. Validator runs all eight gates. Failed drafts get two mechanical revisions, then escalate to stuck_human_review instead of silently going out. Weekly analysis writes learnings back to memory so next week's calendar is smarter.
Three things change once the pipeline runs.
Validated production volume per app
30 drafts a day × 6 days × 4 weeks. Validator catches roughly half on the first pass — human editors only see what survived the gates.
Token spend vs LLM-only pipelines
The mechanical fixer handles most revisions without calling the model. Cost scales with volume, not with editorial pickiness.
Source-of-truth artifacts per app
Every step writes a numbered markdown file. When legal asks where a claim came from, there's a traceable path from published line to original brief.
Numbers observed in Brilworks' internal reference deployment. Actual figures on your stack will depend on brand voice, channel mix, and the strictness of your validator gates.
Honest fit criteria. We'd rather say no than oversell.
✓Strong fit if
- You publish across 5+ channels and can't risk fabricated claims reaching the public
- You're spending $5K–$25K per month on generic AI content tools or freelancers and still editing everything by hand
- You have (or are building) a defined brand voice, positioning, and set of content pillars
- You're willing to enforce deterministic gates instead of trusting a model's self-assessment
✗Not a fit if
- You publish one or two posts a month (the validator and cron machinery is overkill)
- You have no brand voice or positioning yet — start there, not here
- You want fully autonomous publishing with zero human review at the end
- Your content is one-off campaigns rather than an ongoing multi-channel operation
Book a 30-minute scoping call.
We'll walk through your current content flow, map it against the 43-step pipeline, and tell you honestly whether it fits — and what it would take to ship.