Research, draft, score, revise.
A team of agents per piece of content. Researchers, drafters, scorers, editors, all working in parallel against your brief and your voice. Quality bar that doesn't move. Two human gates: brief in, draft out. Everything in between is the team.
Single-shot drafts miss the bar. Single voices drift. Single passes ship slop.
Most content production has no quality bar that holds. One writer gets the voice, the next doesn't. One AI draft passes, the next reads like a thousand others. Without a team scoring, looping and learning, every piece is a coin flip.
Without a scoring rubric, every writer (human or agent) brings their own interpretation of "good." Ten pieces in, the brand reads like ten different brands.
A single-shot draft goes live whether it's good or not. No second look, no scoring, no revision loop, no learning. Slop ships at the same speed as great work.
Hedging language, listicle structure, generic conclusions, predictable transitions. The pattern is spotted by good readers and weighted down by search. A scoring agent looking for originality and brand voice catches it before publish.
A team built around a quality bar that holds.
Each agent has one job. None ship without the others. The rubric is yours, the loop is theirs, the gates are yours.
A bar that doesn't move, written for your brand.
Four scorers, every dimension calibrated to your voice and your readers. Threshold set by you, not the agent. Every piece scored against it before any human ever sees it. Every piece edited by you tunes the rubric for next time.
- Brand voice. Reads like your team, not anyone's team. Tone, cadence, refusals.
- Source quality. Every claim traceable. Primary sources preferred over aggregators.
- Originality. Says something the next ten posts on this topic don't.
- SEO & structure. Schema, internal links, intent match, scannability without being listicle slop.
Re-drafts until the bar is met.
Score below threshold? The drafter receives the specific dimension score, the failing examples, and re-writes. The Editor agent compares passes. Each iteration cheaper than the last because the rubric tightens.
Encoded once. Scored every time.
We capture your voice from your best work, your style guide, your refusals. The brand voice scorer reads every draft against that fingerprint. Pieces that drift get sent back, with the specific lines flagged.
Anti-slop, baked in.
The originality scorer reads against the top results, against the patterns of single-shot AI, against your prior content. Hedging language, predictable transitions, generic conclusions: flagged. The drafter rewrites until the piece says something the next ten posts on this topic don't.
Two checkpoints. Brief in, draft out.
You approve the brief before the team writes a word. You approve the draft before it ships. Your edits in either gate get fed back into the rubric, the voice corpus, the refusals. The team gets sharper from each gate, not just from formal training.
Or any content type your team ships.
Long-form blog · landing page · sales deck · help-centre article · launch email · LinkedIn carousel · case study · onboarding sequence. Same team architecture, scoring rubric tuned per format. Bring your hardest content type. We'll build the pipeline.
Calibrate. Cast. Pilot. Run. Learn.
Most agent shops stop at "ship the model." We treat each pipeline like onboarding a senior writer who never forgets. The Learn stage is where the team gets sharper every week, from your edits, your kills, your "yes ship this" replies.
Calibrate
Capture voice from your best work. Lock the refusals. Define the rubric and the threshold. Decide what "ready to ship" looks like before we touch a model.
Cast
Build the team. Research, brief, drafter, four parallel scorers, editor, distributor. Each model picked for the job. Each agent given its single responsibility.
Pilot
Dry-run on 3 to 5 of your historical briefs. Compare team output to your originals side by side. Tune until the team's pieces score within range of your best ones.
Run
Live pipelines. Your two human gates active. Slack pings when each gate needs you. Pieces ship to your CMS, your social, your sequences. The team works while you sleep.
Learn
Every gate edit feeds the rubric. Every kill teaches the team your refusals. Every "ship it" expands the voice corpus. The pipeline doesn't reset between pieces. It compounds.
The team running, on a normal Wednesday.
Sample dashboard. Multiple pieces moving through the pipeline at different stages, scored by the team, gated by you.
What founders ask before saying yes.
If your question isn't here, send it. We'll answer plainly.
How is this different from a single AI writing tool?
A single AI writing tool gives you one shot. The drafter writes once, you accept or scrap. Our pipeline is a team. Different agents handle research, drafting, scoring and editing, all checking each other's work. Drafts get re-written until they pass your rubric. Your edits feed the next run. The single-tool output is a coin flip. The team's output is a system that learns.
What if the team's draft still sounds like AI?
It won't pass the originality scorer if it does. That's the whole point of the rubric. The patterns of single-shot AI (hedging, listicle structure, generic openers) are detectable and the scorer is calibrated against them. Pieces that read like AI get sent back to the drafter with specific flagged lines.
What if our voice changes? Or we want to test a new one?
The voice corpus is editable. You add pieces that represent the new direction, mark old ones as deprecated, and the next run scores against the updated fingerprint. You can also have parallel pipelines with different voices for different content types (technical docs vs LinkedIn).
Can the team write our highest-stakes content?
It can draft it. We do not recommend it ships unsupervised. The two human gates exist specifically for high-stakes pieces: you read the brief before the team writes a word, you read the draft before it goes live. The team is leverage, not replacement.
What happens to my edits and feedback?
Every edit gets logged. Patterns across many edits get added to the rubric automatically. Big edits prompt a "should this become a rule?" review with you. The team gets sharper because you do, not because the model itself fine-tunes. Auditable, reversible, controllable.
What if we don't have a corpus to calibrate on?
Two paths. Either we start with a smaller pipeline (drafter + one scorer) to build the corpus from scratch as you write, or we start with a related corpus (your style guide, brand book, voice samples) and tune from there. We won't ship a full pipeline with no calibration. The bar is the whole point.
Content, scored.
Bring your voice, your hardest content type, your two human gates. We'll build the team that ships at the bar you set.