A fact-check workflow for any AI-generated text gives you a repeatable process to verify claims before they reach your audience. On aidowith.me, you follow an 11-step route that takes about 1 hour. You start by categorizing the types of claims AI makes in your content: statistics, quotes, dates, product details, and causal statements. The route builds a tiered verification system where high-risk claims (numbers, quotes, legal statements) get manual checks and low-risk claims get automated cross-referencing. AI helps you create a checklist with 15 verification prompts tailored to your content type. You also get a flagging template that marks each claim as verified, unverified, or corrected. Studies show AI tools hallucinate in 3-15% of factual outputs. This route catches those errors before they go live The route also builds a pre-verified fact library where you store checked statistics and sources so recurring claims get cleared instantly on future pieces.
Last updated: April 2026
The Problem and the Fix
Without a route
- Your team published an AI-generated blog post with a fabricated statistic and a reader called it out
- Manually checking every claim in a 2,000-word article takes longer than writing it from scratch
- There's no standard process, so some team members skip verification and others over-check everything
With aidowith.me
- Ship a repeatable fact-check workflow with a 15-point verification checklist in about 1 hour
- Prioritize checks with a tiered system: high-risk claims get manual review, low-risk gets automated
- Standardize verification across your team so every piece of AI content gets the same quality check
Who This Route Is For
Marketers
Content, campaigns, and briefs done in hours instead of days.
Sales & BizDev
Prep calls, draft outreach, research prospects in minutes.
Managers & Leads
Reports, presentations, and team comms handled faster.
How It Works
Categorize claim types
Identify the types of claims AI makes in your content: stats, quotes, dates, product info, causal statements. AI maps each type to a risk tier.
Build verification prompts
AI generates 15 targeted verification prompts for your content type. You assign manual or automated checks based on risk level.
Create the flagging template
Build a claim-by-claim tracker that marks each statement as verified, unverified, or corrected. Export it as a reusable template for your team.
Build Your Fact-Check Workflow Now
Follow a route to create a verification system that catches AI hallucinations before they go live.
Start This Route →What You Walk Away With
Categorize claim types
Build verification prompts
Create the flagging template
Standardize verification across your team so every piece of AI content gets the same quality check
"We caught 4 hallucinated stats in one article using this workflow. It's now part of our publishing process."- Managing Editor, B2B Content Agency
Questions
AI tools hallucinate in 3-15% of factual outputs. That means a 2,000-word article could contain 2-5 false or misleading claims. Without a systematic check, these errors reach your audience and damage credibility. This workflow catches them before publishing.
For a typical 1,500-word article, the tiered approach takes 15-20 minutes. High-risk claims (stats, quotes) get manual verification. Low-risk claims (general statements) get a quick automated cross-reference. The workflow speeds up further as you build a library of pre-verified facts.
Yes. The route adapts to blog posts, reports, email copy, social media, and documentation. During setup, you specify your content type and AI tailors the verification prompts accordingly. Marketing copy gets different checks than technical documentation or financial reports.