Grounded AI systems

AI that knows what it can say.

Quillmark builds AI tools for content work that needs evidence on the page and a person in the loop. The systems show sources, flag risk, and escalate before a bad answer goes out.

The thesis

Generic AI produces confident noise. Useful AI stays close to the work.

The best systems start with the material that already governs the work: policies, examples, transcripts, public pages, approved language, review criteria, and the constraints reviewers actually use.

Quillmark is a small, operator-led studio focused on narrow vertical problems where that material matters.

What Quillmark builds

Tools for content work that depends on judgment.

Quillmark builds narrow tools and prototypes that help teams use their own material without turning everything into generic AI copy.

Grounded review tools

Interfaces that compare content against source material, policies, examples, rules, or approved language.

Source-backed drafting workflows

Drafting workflows that keep generated language connected to evidence, constraints, and reviewer expectations.

Proof-of-work prototypes

Working prototypes that test a vertical idea before it becomes a larger build or an internal tool.

Quillmark Open Source

Open-source Codex plugins and workflows you can inspect, adapt, and extend.

Quillmark Open Source publishes practical workflow infrastructure for teams that need evidence, clear review boundaries, and source material they can check.

First public project

Compliance Flag

Compliance Flag is an open-source Codex plugin and workflow package for SEC Marketing Rule website review. It collects public RIA website pages, preserves the page evidence, and uses Codex to draft findings that qualified reviewers can evaluate.

Workflow recipes

Reusable patterns for monitoring, escalation, report archives, and reviewer handoff around source-heavy content work.

Plugin and skill projects

Small agent-native packages that make evidence-backed work easier to run, inspect, and improve.

Future vertical packs

New project surfaces for workflows shaped by rules, examples, evidence, and human judgment.

Good fit

Bring one workflow, not an AI transformation program.

Quillmark is best suited to problems narrow enough to inspect closely and important enough that generic output will not do.

The work has source material. Policies, examples, transcripts, approved wording, public pages, client facts, or other material that should shape the answer.
The content has consequences. A bad answer can create regulatory, legal, operational, customer trust, or internal review problems.
The pattern repeats. The same review, drafting, comparison, approval, or reporting problem comes back often enough to justify a reusable tool.
How the first engagement works

Start with the real material. Build when the use case earns it.

01

Understand the workflow.

Clarify the job, the source material, the failure points, and where human review belongs.

02

Define the grounding.

Identify the constraints, examples, citations, review rules, and judgment calls the tool has to respect.

03

Prototype the useful tool.

Build when the workflow has enough repeatability and source material to justify a real tool.

Operator-led

Kept small on purpose.

Quillmark is run by Matthew Ketter, a software developer and product operator with more than 25 years of experience across startups and enterprise environments.

A small studio keeps the loop tight: think through the product, build the prototype, and stay close to the problem long enough to learn what actually works.

Proof of work matters. Quillmark Open Source starts with Compliance Flag, a review-support plugin and workflow package for public financial-services marketing pages, and uses open projects as inspectable proof for future client work.

Contact

Have a content workflow where AI needs guardrails?

Reach out if you want to compare notes, discuss a narrow workflow, or talk through where AI could help inside a high-trust content process.

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