? ZennoPoster Template: Automated AI Replies to TikTok Comments
Budget: $30 – $250 USD
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Project
$30 – 250 USD
? ZennoPoster Template: Automated AI Replies to TikTok Comments
? Project Goal:
Create a ZennoPoster template that:
Works with multiple TikTok accounts;
Uses proxy, cookies, user-agent, and fingerprint emulation;
Parses videos and their comments;
Uses AI (like OpenAI API) to generate natural replies;
Avoids replying twice to the same comment;
Stores comments to reply in a file and uses a blacklist;
Random delay between replies to simulate human behavior;
Cycles through multiple accounts automatically.
Separate files and individual promt for each ticktock account
? Workflow Logic:
Load an account (with all necessary fingerprint/proxy setup).
Check if a file with unreplied comments exists (comments_to_reply_{account}.txt):
If it exists and has entries → skip parsing and start replying to those.
Only if it’s empty → go to step 3 and parse comments.
Parse all videos on the profile.
Parse comments under each video:
If a comment has a like → consider it replied → add to blacklist.
Others → save to comments_to_reply_{account}.txt.
Load prompt from prompt.txt, insert comment, send to AI.
Post reply as a TikTok comment with typing emulation.
Add a like to the original comment to mark it as processed.
Random delay of 10–40 seconds between replies.
After replying to 20–30 comments, switch to the next account and repeat from step 2.
? AI Prompt Logic:
The prompt is stored in a separate file (prompt.txt);
Each comment will be inserted dynamically into the prompt (placeholder like {{comment}})
The template sends it to an AI (OpenAI API or similar) and gets the reply text.
?️ File Structure (per account):
cookies.txt – browser session;
proxy.txt – proxy list;
useragents.txt – user-agent list;
comments_blacklist_{account}.txt – replied comments;
comments_to_reply_{account}.txt – pending comments to reply;
prompt.txt – text with AI instruction, using placeholder like {{comment}};
logs/{account}.txt – action logs.
? Behavior Requirements:
Emulate realistic user actions (scrolling, typing, clicking);
Random delay between replies: 10–40 seconds;
Switch account every 20–30 replies;
Never reply to a comment twice (use blacklist);
Use typing simulation when posting reply;
Parse new comments only if comments_to_reply.txt is empty.
?️ Settings:
ZennoPoster version used;
OpenAI (or other AI) API key will be provided;
Paths to prompt and data files should be configurable;
Number of replies before switching accounts: configurable.
? Please apply only if you have solid ZennoPoster experience.
Bonus if you’re familiar with TikTok automation or AI integration.
Project
$30 – 250 USD
? ZennoPoster Template: Automated AI Replies to TikTok Comments
? Project Goal:
Create a ZennoPoster template that:
Works with multiple TikTok accounts;
Uses proxy, cookies, user-agent, and fingerprint emulation;
Parses videos and their comments;
Uses AI (like OpenAI API) to generate natural replies;
Avoids replying twice to the same comment;
Stores comments to reply in a file and uses a blacklist;
Random delay between replies to simulate human behavior;
Cycles through multiple accounts automatically.
Separate files and individual promt for each ticktock account
? Workflow Logic:
Load an account (with all necessary fingerprint/proxy setup).
Check if a file with unreplied comments exists (comments_to_reply_{account}.txt):
If it exists and has entries → skip parsing and start replying to those.
Only if it’s empty → go to step 3 and parse comments.
Parse all videos on the profile.
Parse comments under each video:
If a comment has a like → consider it replied → add to blacklist.
Others → save to comments_to_reply_{account}.txt.
Load prompt from prompt.txt, insert comment, send to AI.
Post reply as a TikTok comment with typing emulation.
Add a like to the original comment to mark it as processed.
Random delay of 10–40 seconds between replies.
After replying to 20–30 comments, switch to the next account and repeat from step 2.
? AI Prompt Logic:
The prompt is stored in a separate file (prompt.txt);
Each comment will be inserted dynamically into the prompt (placeholder like {{comment}})
The template sends it to an AI (OpenAI API or similar) and gets the reply text.
?️ File Structure (per account):
cookies.txt – browser session;
proxy.txt – proxy list;
useragents.txt – user-agent list;
comments_blacklist_{account}.txt – replied comments;
comments_to_reply_{account}.txt – pending comments to reply;
prompt.txt – text with AI instruction, using placeholder like {{comment}};
logs/{account}.txt – action logs.
? Behavior Requirements:
Emulate realistic user actions (scrolling, typing, clicking);
Random delay between replies: 10–40 seconds;
Switch account every 20–30 replies;
Never reply to a comment twice (use blacklist);
Use typing simulation when posting reply;
Parse new comments only if comments_to_reply.txt is empty.
?️ Settings:
ZennoPoster version used;
OpenAI (or other AI) API key will be provided;
Paths to prompt and data files should be configurable;
Number of replies before switching accounts: configurable.
? Please apply only if you have solid ZennoPoster experience.
Bonus if you’re familiar with TikTok automation or AI integration.