Sifu Content
Generate high-reach Threads content that lands — no guessing what to post.
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Generate high-reach Threads content that lands — no guessing what to post.
Don't have an account?
Manage the products and services you create content for.
Pipeline Aira → Ella → Ava: Aira finds the real audience for your niche, Ella digs 4 layers of emotion, Ava builds an angle bank by funnel stage (TOFU/MOFU/BOFU). Run once per product — results are saved, then pick an angle when you generate.
Aira — finding your audience…
Pick a product and angle — the engine drafts a full 1/n thread.
✏️ Edit any part inline below before copying or posting.
Identifying the best hooks…
Every thread you've generated. Click any entry to open it — the badge shows what's been posted to Threads & how many views.
Scheduled threads auto-post to Threads at the time you set. Schedule from the Library tab — hit Schedule on any thread.
The version each pipeline is serving to subscribers, and whether you have edits waiting to publish.
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Dry-run the current draft flow on a real product + topic. See each agent's output and the cost. Nothing is saved and no subscriber quota is touched — publish from the Draft flow card below when you're happy.
The Draft (thread) generation runs these agents in order: each step agent produces text that feeds the next; the final terminal agent writes the thread. Edit here as a draft — reorder, enable/disable, add your own agents. Changes reach subscribers only when you Publish. (The Strategy pipeline is tuned in the card below.)
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The Strategy (pre-marketing) pipeline: Aira (audience) → Ella (emotion) → Ava (angle bank). Pick an agent, edit its prompt/model, Save — used instantly, no deploy.
Admin only. Trial data to set pricing. Total cost = thread + pre-marketing (strategy) + extract — real blended cost per user. Slot = trial status (active/waitlist/expired), ✓ = activated (used at least once).
| User | Plan | Slot | Active | Threads | Strat | Extract | Total (USD) | ≈ RM | Last |
|---|---|---|---|---|---|---|---|---|---|
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Admin only, all users. Raw data to tune agent prompts: (1) what users edit on an AI thread = composer/humanizer signal; (2) Ava angles generated but never used = Ava signal.
What users changed after the AI wrote — look for patterns that keep getting fixed.
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Ava generated but nobody picked (used_count = 0). A high rate = angles that don't land.
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When users fix the AI research before generating angles — where Aira/Ella get overruled.
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