The TokScript blog — workflows, not listicles
Every post here documents one working workflow built on TokScript transcripts: how to research a niche through its winning videos, turn transcripts into scripts with the AI agents, and measure what actually changed. Each article states its numbers, names its sources, and shows the steps in order — the same evidence standard as our tutorials, applied to strategy instead of setup.
How these posts are made
rule · evidence
Claims carry numbers with sources — platform figures cite the official About page (71,900+ creators, 84M+ minutes), and workflow results state their before and after.
rule · hands on
Every workflow's core research loop starts on the free plan's 5 daily transcripts — and when a step needs a paid feature (batching, exports, agents), the post says so at that step.
rule · in sync
When the product changes — new agents, new limits, new integrations — affected posts are updated and the change is logged on the changelog with its verification date.
Starting from zero instead? The step-by-step basics — pasting a link into the input bar, batching 50 videos in one run, installing the Chrome extension, and connecting MCP so transcripts arrive inside Claude or ChatGPT — live in the tutorials section; the posts below assume those moves and focus on strategy: what to transcribe, what to look for in the text, and how to turn findings into scripts.
On the desk next
The publishing queue follows the same evidence rule as the posts themselves — each topic below ships once its workflow has been run end to end with real videos and real numbers attached. Coming up: a niche-research playbook that turns 50 transcribed videos into a positioning map; a hook-pattern study comparing openers across the three platforms the engine reads; and a repurposing pipeline that walks one transcript through caption, thread, and newsletter formats without the text losing its voice. Each of these will publish with its transcript set named, its agent prompts shown, and its outcome measured against stated baselines — the parts most workflow posts leave out, and exactly the parts that make a workflow reproducible by a reader. If one of these would help your work right now, say so through the contact page — the queue reorders around what readers actually need.