Fifteen numbered techniques, each with a 2-sentence explanation and a concrete example. Plus a 24-row lexical swap table, 8 syntactic patterns to break, and a 5-persona voice map.
AI posts fail on Reddit for two reasons: word-level tells (corporate vocabulary, adverb-emotion pairs) and structural tells (thesis-statement opening, three-item parallels, tidy conclusion). Word-level tells are fixed by the lexical swap table. Structural tells require understanding how real Reddit posts are shaped, which is what the 15 techniques address.
The fastest effective edit is: delete the first sentence, add one specific number, admit one flaw, delete the last sentence. That four-step pass handles 70% of detection risk in under 5 minutes. For posts in high-scrutiny subreddits like r/personalfinance or r/LocalLLaMA, work through the full technique list. Tools like MediaFast start with these patterns built into the generation process, cutting the cleanup time significantly.
Apply in priority order. Techniques 1 through 5 are mandatory. The rest are additive.
AI starts by explaining what it is about to cover. Real Reddit posts start in the middle of the situation. The reader does not need context before the event.
Example
AI: 'In the world of startup marketing, finding early customers is one of the most challenging tasks...' / Human: 'Lost our biggest customer last week. $3K MRR gone in 24 hours.'
No human types 'utilize' in casual writing. The same goes for 'leverage', 'implement', 'facilitate', and 'foster'. Each is a corporate substitute for a simpler verb.
Example
AI: 'We leverage machine learning to facilitate better outcomes.' / Human: 'We use ML to cut response time.'
Specific, non-round numbers (not 'a few' or 'many') are the fastest credibility signal. Real experience produces specific numbers. AI defaults to vague estimates.
Example
AI: 'After several months of testing...' / Human: 'After 4 months and 73 signups, we finally found the message that converts.'
AI writes sentences of roughly equal length. Human writing has extreme variation. A very short sentence after a long one breaks the AI rhythm pattern and reads naturally.
Example
Long sentence about the product and its advantages. Three words. Done. That rhythm break is human.
AI never admits problems because it is optimizing for a positive presentation. Real practitioners do. A single genuine limitation per post signals authenticity more than any other technique.
Example
AI: 'Our tool provides comprehensive analytics for all your needs.' / Human: 'Analytics are solid. The UI is ugly. Working on it.'
AI closes every response with a tidy summary. Reddit posts do not have conclusions. End on the last substantive point or a genuine question. Never summarize what you just said.
Example
AI: 'In conclusion, I hope this helps you on your journey.' / Human: [Delete this entirely. The post ended two sentences earlier.]
Using no contractions reads stiff. Using all contractions everywhere is also an AI tell because of its uniformity. Deliberately mix contracted and uncontracted forms in the same post.
Example
'I don't know why it worked. We did not expect the traction. It shouldn't have launched this well.' The inconsistency feels real.
AI-generated content exists outside of Reddit context. Real posts reference the community: a recent thread, a common opinion in the sub, a specific user's take. This grounds the post in the community.
Example
'Saw someone in this sub mention cold DMs work better than posts. I tried 40 DMs last week. Here's what happened.'
AI mixes tenses inconsistently or sticks to present tense throughout. Real experiential writing uses past tense for what happened and present tense for the lesson. This pattern is a natural human writing convention.
Example
'I spent three months on the wrong ICP. Chasing enterprise when we are clearly a SMB product. Still costs me sleep.'
Every subreddit has in-group vocabulary. r/SaaS says 'ICP', 'churn', 'MRR'. r/webdev says 'works on my machine', 'tech debt', 'LGTM'. One correct in-group term signals belonging.
Example
r/SaaS: 'Our ICP shifted three times before we found PMF. That churn in Q1 was the signal we ignored.'
'Pain points' is consultant vocabulary. Real posts describe the actual problem in concrete terms. The specificity makes the problem recognizable and the post shareable.
Example
AI: 'We solve the pain points of modern scheduling.' / Human: 'I spent 40 minutes every Monday moving calendar blocks. Now it's 4 minutes.'
AI is efficient: every sentence serves a purpose. Human writing wanders. Adding one slightly off-topic sentence (a related memory, a side note) makes the post feel written by a person, not optimized.
Example
'Anyway, that's the whole story. My co-founder thinks I'm too obsessed with this metric. He's probably right.'
AI-generated questions are generic ('What do you think?') or rhetorical. Real engagement-driving questions are specific, slightly personal, and do not have an obvious answer.
Example
AI: 'What are your thoughts on this approach?' / Human: 'Did anyone else find that their CAC doubled when they moved upmarket, or was that just us?'
AI defaults to lists of exactly three items: 'fast, reliable, and scalable'. Real writing picks one or two. If you need more than two, use a proper bullet list rather than an inline enumeration.
Example
AI: 'Our tool is fast, reliable, and intuitive.' / Human: 'Fast. The reliability is still catching up.'
The final test. AI text sounds fine visually but sounds like a corporate pitch when spoken. Anything that feels like a slide title or a headline goes. The rest stays.
Example
If you would not say it in a casual conversation with a peer, delete it. Reddit is a conversation, not a deck.
Run your post through this table before publishing. Every word in the left column is a detection signal.
Word swaps fix lexical tells. These patterns fix architectural tells. Both are required.
X not only A, but also B
This construction appears in AI text at 10x the rate of human writing. Reddit users recognize it.
Fix: Split: 'X does A. It also handles B.' Or pick the stronger one and delete the other.
Three-item parallel list inline
'Fast, reliable, and intuitive' is an AI fingerprint. Humans pick one or two descriptors.
Fix: Pick the most specific one. If all three matter, put them in a bullet list, not a sentence.
'In this post, I will...' opener
AI announces what it is about to do before doing it. Reddit posts start in the middle.
Fix: Delete the first sentence. The second sentence is usually where the post actually starts.
Transitional openers: 'Furthermore', 'Additionally', 'Moreover'
These are essay connectors. Reddit posts are not essays. They read as AI artifacts immediately.
Fix: Delete the connector. Start with the content. The paragraph will still connect naturally.
Uniform sentence length throughout
AI produces sentences of roughly equal length. Human writing varies: very short, very long, medium.
Fix: Add one 3-to-5 word sentence after your longest paragraph. Break the rhythm deliberately.
Closing call to engage: 'I'd love to hear your thoughts!'
This is a YouTube outro pasted into a Reddit post. Every AI post ends this way.
Fix: Ask a real question if you have one. Otherwise, end on your last concrete point and stop.
Passive voice throughout
'The decision was made', 'It has been determined', 'Results were observed'. AI avoids assigning agency.
Fix: Add a subject: 'I decided', 'We found', 'Our team saw'. Passive is occasionally fine; systematic passive is not.
Perfect capitalization and punctuation
Real Reddit posts have minor inconsistencies: a comma splice, a lowercase 'i', a sentence fragment.
Fix: Leave one small imperfection intentionally. Not a typo, but a natural inconsistency.
Pick the persona closest to your situation before writing. Then constrain your AI prompt to match the tone markers.
r/startups, r/Entrepreneur, r/indiehackers
Tone Markers
Avoid
Voice Sample
We killed the enterprise tier in March. Too slow to close, too expensive to support. Hurt to admit but churn dropped 40% once we stopped selling to the wrong customer.
r/webdev, r/programming, r/SideProject
Tone Markers
Avoid
Voice Sample
Wrote a CLI tool to sync Notion with Obsidian. 300 lines of Python, probably a mess, but it solved my specific problem. Sharing in case anyone else has the same setup.
r/marketing, r/SaaS, r/smallbusiness
Tone Markers
Avoid
Voice Sample
Dropped cold email in February after 300 emails, 4 replies, 0 demos. Switched to answering questions in r/SaaS for 3 hours per week. Got 7 demo calls in the next 30 days. Not replicated in every niche but worked for us.
r/startups, r/Entrepreneur, r/Entrepreneur
Tone Markers
Avoid
Voice Sample
Running out of runway in 90 days. Have 11 paying customers, $1,100 MRR. Anyone raised a bridge round at this stage without a warm intro? Specifically looking for what the deck looked like.
All subreddits
Tone Markers
Avoid
Voice Sample
Found a free dataset of Reddit posts by subreddit going back 5 years. Useful if you're trying to understand how tone in r/SaaS has shifted. Link in comments.
For 2 to 5 posts per week, the 15-technique pass is manageable. For 15 to 30 posts per month across 5 to 10 subreddits, the editing overhead consumes as much time as the value created. The posts also start to converge on the same patterns because the editor is the same person.
MediaFast generates subreddit-calibrated Reddit posts that start with voice, tone, and community-specific language already applied. The humanizing techniques are in the generation layer, not a post-processing step. For operators posting at scale, that difference is the margin between a sustainable content channel and an exhausting editing workflow.
MediaFast writes Reddit posts calibrated to each subreddit's voice, with specific-number anchors, natural sentence rhythm, and community vocabulary. The 15-technique edit pass is already built in.
Generate Human-Sounding Reddit PostsNo credit card required
Six questions on editing time, highest-leverage techniques, subreddit risk, and detection tools.
Using the 15 techniques above, 8 to 15 minutes per post. The fastest pass: delete the first and last sentences, add one specific number, replace one corporate word, add one self-admitted flaw, check for parallel-of-three structures. That five-step pass handles the most visible signals. A deeper pass through the lexical and syntactic tables adds another 5 minutes.
Adding one specific, non-round number in the first two sentences. It's the single highest-leverage edit. Numbers ("4 months", "73 signups", "$1,840") are things only real people with real experience know. AI produces round estimates or vague timeframes. One specific number shifts reader perception immediately.
No. The techniques address different risk levels. Techniques 1 through 5 are the highest-priority. Apply all five to every post. Techniques 6 through 10 address medium-risk signals. Apply two or three per post. Techniques 11 through 15 are refinements for posts that need deeper humanizing, typically longer posts or posts in communities with experienced AI-spotters like r/LocalLLaMA.
General paraphrasing tools do not solve the problem because they preserve the structure even when they change the words. What matters is the sentence architecture and the authenticity signals (specific numbers, admitted flaws, community vocabulary), not just word-level substitution. A Reddit-specific tool like MediaFast generates posts that start with these patterns built in, reducing the need for manual humanizing.
r/LocalLLaMA and r/MachineLearning (users build detection systems professionally), r/personalfinance (expects personal stories, not generic advice), r/relationships (highly attuned to inauthentic emotional content), and any small, tight-knit subreddit where regulars recognize each other. Large subreddits like r/AskReddit are more permissive because the volume makes individual posts harder to scrutinize.
GPTZero, Originality.ai, and similar tools detect statistical patterns in word distribution and sentence structure. Applying techniques 2, 4, 7, and 14 from the list above directly targets the patterns these tools measure (lexical diversity, sentence length variance, contraction consistency). A thoroughly humanized post typically scores below detection thresholds. But reader suspicion, not tool scores, is the real risk on Reddit.
