Letterwrite provides primitive writing kernels that adversarially produce good writing from a prompted source-of-truth. Designed for developers, built for content marketing.
Seed prompt · Shredded across dozens of models · Adversarially reviewed
LLMs produce contrived writing. Writing kernels counteract that by providing the right harness for producing writing that feels human.
All kernels start with a seed prompt to help shape writing into its flavor.
The produced writing is shredded across dozens of models to prevent watermarks and single-model reliance.
Writing is tested against common test cases. When violated, writing is workshopped within a degree of freedom.
A council of agents determines if the writing is AI or human. When failed, the kernel recurses to step 2 with feedback.
On average, kernels take seven recursions to converge. The approximate computation time is 35 minutes for a 1,500-word article.
Recursion one is what a single model hands you. Every pass after it, the council catches something, and the kernel rewrites exactly that.
In today’s fast-paced digital landscape, choosing the right tooling is more important than ever. Let’s delve into the rich tapestry of trade-offs that shape this pivotal decision. It’s about speed, flexibility, and scalability. It’s not just a technical choice, but a strategic one. Many teams find that MCP offers significant benefits. Ultimately, the best choice depends on your unique needs.
DraftA single model’s first draft. No review yet.
An off-the-shelf kernel is a strong starting point, but it is not a ceiling.
Refine kernels by ingesting the voice that you want to imitate. Feed it your corpus: past posts, brand guidelines, subject-matter docs, your best-performing pages. Then post-train the kernel on that material so its judgments converge on style.
Every kernel ships with a shredder that blends dozens of models to avoid a single model’s watermark. You can also use shredders directly via Lettershred.
Writing kernels take only 2 minutes to set up. Mint a key and start today.
