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ngram Setup Guide

ngram creates polished, on-brand AI videos for product and marketing teams. Describe what you need—or drop in docs, URLs, and recordings—and it handles research, storyboarding, scripting, and voiceover while you stay in control.

Best for product marketers, PMs, growth teams, founders, sales enablement, and customer success who need explainers, demos, feature announcements, and onboarding videos without a full production pipeline. Start at partner.ngram.com/skowers.

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What It Is (And Who It's For)

Most AI video tools spit out generic stock-looking clips. ngram is oriented around product messaging: tell it the audience, goal, style, and length, feed it real source material, then ship formats teams actually need— product demos, launch videos, changelog narratives, onboarding walkthroughs, and social clips.

  • Product teams: feature explainers, PM updates, and changelog videos people actually watch.
  • Marketers: launch creatives, landing-page videos, and social variants without agency turnaround.
  • Sales & CS: persona demos, follow-up walkthroughs, and tutorial libraries without more live calls.
  • Founders: punch above headcount with pitch-ready and Product Hunt launch videos in minutes.

How To Get Started

  • Create your account via the Skowers partner link and open a new video project.
  • Set brand kit once: logo, colors, fonts, intro/outro for consistent exports.
  • Choose a video type (explainer, product launch, changelog, onboarding, sales enablement, etc.).
  • Add inputs: product URL, docs/PDF, screen recording, prompt, or messy notes.
  • Define audience, goal, tone, and length—then review storyboard/script before full generate.

Fast Wins In Week One

  • Turn your homepage or docs URL into a 60s product demo for the site hero.
  • Convert a changelog entry into a feature announcement for LinkedIn + email.
  • Ship one onboarding walkthrough from an existing help-center article.
  • Export 16:9 for YouTube/site and 9:16 for Shorts/Reels from the same project.
  • Iterate with plain language (“shorten scene 2”, “stronger hook”) instead of timeline editing.

Core Workflow

1) Input — bring what you have. Docs, URLs, screen recordings, voice notes, images, and text all become source material. ngram organizes them into a coherent narrative.

2) Define — tell it what the video must do. Audience, goal, style, and length drive structure, pacing, and tone so you are not stuck with one generic template.

3) Ship — publish-ready output. Storyboard, voiceover, music, captions, and on-brand motion graphics land as a finished asset you can refine without restarting from zero.

Capabilities To Lean On

Purpose-aware videos

Structure adapts to launch, onboarding, demo, or social—not one fixed explainer mold.

Any content → video

PDFs, product docs, URLs, and recordings become a story instead of sitting unused in Drive.

Plan, then refine

Review script and storyboard first; edit in plain language without full rebuilds.

Brand kit + multi-format

Logo, colors, fonts, and exports for 16:9, 9:16, and 1:1 kept consistent team-wide.

Generated visuals + motion

AI footage, transitions, lower thirds, captions, and emphasis text included by default.

Screen recording polish

Walkthrough pipeline for demos with zoom, callouts, and cleanup—less timeline work (expanding).

Suggested First Projects

Homepage demo: Paste your product URL → 60s benefit-led demo for the landing hero and sales decks.

Release notes → video: Drop changelog text → feature announcement for email, Slack, and social.

Docs → onboarding: Convert one help article into a step-by-step customer onboarding clip.

Sales follow-up: Turn a rough screen recording into a polished walkthrough the buying committee can watch asynchronously.

Clickthrough Links

How To Evaluate The Trial

  • Produce one real launch or demo video from existing product docs and compare quality vs your last agency/Loom cut.
  • Check brand-kit fidelity—colors, fonts, logo placement—across 16:9 and 9:16 exports.
  • Time how long storyboard → publish takes versus your current pipeline (edit, VO, captions, motion).
  • Confirm plain-language edits fix messaging without forcing a full regenerate every time.