
Three independent AI reviewers check your blog draft for generic filler, trademark or copyright red flags, and skeptic-bait claims, then cross-examine.

Quiere una respuesta franca: qué funciona, qué no, y qué corregir. Leo su borrador como un editor de desarrollo experimentado. Primero, el nivel real del borrador: de desarrollo, estructural, de párrafo, o de línea, porque pulir las frases no sirve si el problema es el argumento o la estructura. Luego: qué vale la pena proteger, el problema central que mejora todo si se corrige, y un plan de revisión: qué corregir primero, qué dejar para después, qué no tocar. Dígame la revista y calibro.

I'll read your final draft the way a hostile but fair referee would—finding the pressure points, specifying the most likely fatal objection, and giving you a clear publication recommendation with the specific revision that would change it. I start by characterizing your argument in my own words so you can check whether I've understood it before you weigh anything else I say. Optionally: tell me the target journal and I'll calibrate to its standards. Not for your peer reviewing commitments.

Paste a viral Instagram or YouTube reference and get a score-backed decision: adapt it, change key variables, borrow the format, or skip it.

Optimist, Skeptic, and Domain Specialist VC personas review your pitch blind, then cross-examine each other before a board verdict.

Three independent AI reviewers — Skeptical Customer, Conversion Realist, Brand Guardian — catch what kills conversion and creates brand risk before copy ships.

Turn an idea, experience, or resource into a Reddit post that fits the subreddit and doesn't get removed. Reddit punishes marketing, so this engine is authenticity-first: honest titles, a self-text body tuned to community norms, the right subreddit + flair, and a first-comment plan. Built on the 90/10 rule, 7 honest title formulas, 6 post archetypes, a per-subreddit checklist, a hard anti-'AI-slop' guide, a 'would this get removed?' self-audit, and a posting calendar. Runs with your own model.

Check your investor update before sending: three independent AI reviewers flag vague claims, buried bad news and fuzzy asks, then cross-examine each other for a board verdict.