AutomationOFF
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Automatically generates posts for X
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Parameter Selection
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Target Selection
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Research
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Concept Generation
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Concept Name 0/100
Concept 0/2000
Persona Design
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Avatar
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Daily Behavior
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Avatar
Persona 0/1000
Daily Behavior
Daily Behavior 0/1000
Professional Traits
What thoughts and perspectives they have in their work or field of expertise. The more detail here, the more varied your post topics become
Everyday Traits
Personal side, such as daily habits and hobbies. The more detail here, the richer your everyday-topic posts become
Taboos
Things this persona would never do or say
Example posts (Assertion, Know-how, Experience)
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Example posts (Casual)
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Probability
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9 / 70
What are example posts?
Write posts the way you want to write them. The AI learns your way of thinking, phrasing, and habits from them.
Writing Tips
・Pasting posts you actually wrote, or posts you want to write, works best
・Mix short and long posts (the length of generated posts follows the length mix of your examples)
・The AI imitates how you write. Topics and sentences from your examples are never reused as-is
・For each example, check the post types it applies to (Assertion, Know-how, Experience, Casual). If it fits every type, leave all checkboxes unchecked (it will apply to every type)
・Up to 30 per type, up to 70 in total
・Mix short and long posts (the length of generated posts follows the length mix of your examples)
・The AI imitates how you write. Topics and sentences from your examples are never reused as-is
・For each example, check the post types it applies to (Assertion, Know-how, Experience, Casual). If it fits every type, leave all checkboxes unchecked (it will apply to every type)
・Up to 30 per type, up to 70 in total
Post Type Probability
?
Post Type Probability
The distribution of which type—Assertion, Know-how, Experience, or Casual—each post becomes during schedule generation. The 4 types total 100%.
Δ (variance width) is the range by which the distribution shifts day to day, within ±Δ (Δ=0 means fixed).
Δ (variance width) is the range by which the distribution shifts day to day, within ±Δ (Δ=0 means fixed).
| Post Type | Share % | Δ (Variance Range) | Timely %
?
Timely %
Set the probability of using "currently trending topics" for each post type.
Each type is set independently and doesn't need to total 100%. Assertion Probability of using latest news Know-how Probability of using current trends Experience / Casual Probability of using seasonal topics |
Δ (Variance Range) | |
|---|---|---|---|---|---|
| Assertion | % |
±% |
% |
±% |
|
| Know-how | % |
±% |
% |
±% |
|
| Experience | % |
±% |
% |
±% |
|
| Casual | % |
±% |
% |
±% |
Thread Probability
?
Thread Probability
The probability that an Assertion or Know-how post becomes a thread (2–5 consecutive posts). The rest are single posts.
The length of single posts is set automatically to match the length mix of your example posts.
Experience and Casual posts never become threads.
The length of single posts is set automatically to match the length mix of your example posts.
Experience and Casual posts never become threads.
| Post Type | Thread |
|
|---|---|---|
| Assertion | % |
|
| Know-how | % |
Image Post Probability
?
Image Post Probability
The probability of adding an image to each post type. Each type is independent and doesn't need to total 100%.
The image % is drawn per post, and that probability determines whether the post includes an image.
Turn the toggle on the right off to never add images for that type.
The image % is drawn per post, and that probability determines whether the post includes an image.
Turn the toggle on the right off to never add images for that type.
| Post Type | Image % | |
|---|---|---|
| Assertion | % |
|
| Know-how | % |
|
| Experience | % |
|
| Casual | % |
Posting Time Probability
?
Posting Time Probability
The distribution of which time slot within 1 day each post type is posted in. Each row totals 100%.
Time slots are divided into 6: Morning (7–8), Late Morning (9–11), Noon (12–13), Afternoon (14–17), Evening (18–22), and Late Night (23–6).
Time slots are divided into 6: Morning (7–8), Late Morning (9–11), Noon (12–13), Afternoon (14–17), Evening (18–22), and Late Night (23–6).
Posting times are interpreted based on Asia/Tokyo
Change in Avatar
| Post Type |
Morning
7-8 |
Late Morning
9-11 |
Noon
12-13 |
Afternoon
14-17 |
Evening
18-22 |
Late Night
23-6 |
|---|---|---|---|---|---|---|
| Assertion | % |
% |
% |
% |
% |
% |
| Know-how | % |
% |
% |
% |
% |
% |
| Experience | % |
% |
% |
% |
% |
% |
| Casual | % |
% |
% |
% |
% |
% |
The 4 Post Types
Assertion: Opinions/claims like "I firmly believe that..." or "...is wrong"
Know-how: Knowledge/data/lists like "How to..." or "3 tips for..."
Experience: Specific incidents from work or your field, like "Last week on site, ..." or "A junior colleague got stuck on..." (everyday-life scenes are Casual)
Casual: Casual musings like "Good morning" or "Cherry blossom season, huh"
Know-how: Knowledge/data/lists like "How to..." or "3 tips for..."
Experience: Specific incidents from work or your field, like "Last week on site, ..." or "A junior colleague got stuck on..." (everyday-life scenes are Casual)
Casual: Casual musings like "Good morning" or "Cherry blossom season, huh"
Writing style is generated from the example posts registered in the "Example posts" tab (matching type + all types common). If there are no examples, settings such as speaking style become the basis for the writing. Check the ? in each table for details.
AI Generation Rationale (X Growth Perspective)
An account aimed at business professionals in their 30s–40s struggling with chronic fatigue, promoting better performance through "sleep as an investment." Rather than an even split, it weights how-to posts about data and gadgets (30%) and everyday life as a father (30%).
Reason for Posting Time Slot
Synced to a busy office worker's daily rhythm: opinions in the morning commute, how-to posts during breaks in the workday, and everyday life in the evening after getting home, aiming for early engagement. Late-night posts (late_night) are set to 0% to keep the persona credible.
Research
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Idea (Professional)
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Idea Refinement
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Post Generation
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Quality Check
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