PawX.ai

赛道 3：智能体驱动的应用What we are doingPawx.ai is a real-time engagement tool for X that helps users identify the right KOLs, monitor them continuously, and reply instantly with high-quality AI-assisted responses based on a custom prompt. The goal is simple: get your account seen by replying early and relevant on high-engagement tweets.What problems we are solving- KOL discovery is noisy: It’s hard to consistently find KOLs that match your niche, intent, and audience.- Speed is a bottleneck: The highest visibility often goes to the earliest good replies, but people can’t watch X all day.- Reply quality is inconsistent: Writing replies that feel natural, valuable, and on-brand every time is hard to sustain.How we are solving it- Targeted KOL selection: Users pick KOLs by tags or specific accounts, with AI-assisted suggestions based on intent.- Always-on monitoring: Pawx.ai watches those KOLs in real time and detects new tweets immediately.- Custom-prompt reply generation: For each tweet, Pawx.ai generates replies using your prompt (tone, positioning, do/don’t rules), so responses stay consistent and high-quality.- Fast execution: Replies are prepared and sent right away to capture early placement and exposure.How did we do it (implementation overview)- Built a workflow to create KOL sets (by tag or manual selection) and store them per user/campaign.- Implemented real-time tweet monitoring for the selected KOLs and triggers when a new post appears.- Integrated an LLM pipeline that takes: - the tweet content + context, - the user’s custom prompt/brand rules,- Added basic controls to keep output aligned (prompt templates, formatting rules, and guardrails to avoid spammy replies).What is left to be done- Quality controls: better ranking/scoring of replies (relevance, usefulness, “sounds human”), plus tone matching per account.- Safety + compliance: stronger filters (no risky claims, no harassment, avoid sensitive topics), and rate-limit / anti-spam protections.- Approvals & workflows: optional “approve before posting,” team roles, and audit logs.- Performance analytics: track replies → impressions/likes/follows, identify best KOLs/tags, and learn what style works.- Campaign playbooks: preset strategies by intent (community building, product launch, content creator growth).- Scalability: improve monitoring reliability and throughput as users track more KOLs and faster-moving accounts.