Replyer's 11 agent templates mapped to chatroom scenarios, picking the right persona

"I installed Replyer, which of the 11 persona templates should I pick?"

This post maps Replyer's 11 agent templates onto six chatroom types. Picking the right persona for your room's content / member mix / operating goal, plus multi-persona collaboration patterns.

11 agent templates at a glance

6 chatroom types × persona fit matrix

A heatmap showing fit between six chatroom types and 11 personas. Dark = 1st pick, mid = 2nd pick, light = supporting, empty = poor fit. Hover any cell to see the fit score.

Per-type depth guide

Daily chat / social

1st pick casual_chat: "lol yeah" / "hot today huh" style light replies. Keeping the room's vibe is the point.

Helper community_reactor: one-liner reactions ("nice" / "wait really?") that make the room feel alive.

Helper humor_oneliner: occasional short humor reactions to refresh the mood.

Avoid: news_debate / market_analyst, serious tone burdens a social room.

Info / content reply

1st pick news_oneliner: "Today's key is X, short summary". When members want a quick answer.

Helper news_debate: deeper questions get opinion + reasoning in 2~3 sentences.

Helper casual_chat: cover greetings and small talk so the room doesn't read sterile.

Avoid: humor_oneliner, heavy humor drops trust in info rooms.

Business / consulting

1st pick news_debate: opinion + reasoning + next step. Depth carries value here.

Helper market_analyst: market / competitor / trend questions with a data-leaning tone.

Helper casual_chat: separate greeting / chit-chat. Pure business mode burns the room out.

Avoid: humor_oneliner / panic, jokes or panic in business replies kill trust.

Signal / investing rooms

1st pick market_analyst: market analysis / signal replies. Data / chart / opinion.

Helper hodler / panic / bullish_gamer: pick 1~2 matching the market mood (long-term / volatile / bull).

Avoid: community_reactor, plain reactions don't fit a signal room.

Warning: signal-room automation has elevated detection / report risk. See how signal-channel members spot chatbots.

Entertainment / fandom

1st pick entertainment_chat: excitement / empathy / info balance for celebrity / concert / gossip.

Helper humor_oneliner: light reactions to keep the room's energy.

Helper community_reactor: short responses to member posts.

Avoid: news_debate / market_analyst, serious tone clashes with fandom energy.

Self-improvement / learning

1st pick news_debate: opinion + experience + next step for learning questions.

Helper news_oneliner: short summary for info / content replies.

Helper quiet_lurker: occasional replies that reduce member pressure. Learning rooms shouldn't promise 24/7 replies.

Avoid: humor_oneliner / community_reactor, excessive lightness undercuts depth.

Multi-persona routing, one room, 2~4 personas

Bigger rooms shouldn't run a single persona for everything. Different message types → different personas.

Here's a Mermaid flow showing keyword-based routing in an info room. triggers.keywords + priority in each agents/*.yaml drive the message → persona match.

flowchart LR
    M[Incoming message] --> R{Router
responder.py}
    R -->|short Q| N1[news_oneliner
priority: 7]
    R -->|deep Q| N2[news_debate
priority: 6]
    R -->|greeting| C[casual_chat
priority: 3]
    R -->|no match| S[skip / no reply]
    N1 --> Q[Queue]
    N2 --> Q
    C --> Q
    Q --> SEND[sender.py
human-like send]
    style M fill:#eef1fb,stroke:#3b59c5
    style R fill:#fff,stroke:#3b59c5,stroke-width:2px
    style SEND fill:#0f7b6c,color:#fff
    style S fill:#f5f5f5,stroke:#787774
  

One room + 3 personas (info room example)

• Message type 1 "What about X today?" → news_oneliner (short info)
• Message type 2 "Tell me more about X" → news_debate (deep reply)
• Message type 3 "hi" / "thanks" → casual_chat (light greeting)

Replyer routes keywords to personas. Detail in persona routing for natural replies.

One operator + 5 rooms with different personas

A single operator running 5 rooms uses a different persona per room:

• Social room A → casual_chat
• Info room B → news_oneliner + news_debate
• Business room C → news_debate + market_analyst
• Entertainment room D → entertainment_chat
• Learning room E → news_debate + quiet_lurker

Persona-to-account and persona-to-room mapping does the routing. Combine with safety lines (per-hour cap / multi-account spreading). See account ban prevention.

Frequently asked questions

Q. Will activating all 11 cause conflicts?

No. With chatroom / keyword mapping, each message routes to exactly one persona. Unmapped personas stay idle.

Q. What if the template tone doesn't match my operator voice?

Templates are starting points. The 5~10 hours of refinement to your tone is the real work. The 5 principles in agent prompt writing guide. Iterate test-reply → rate → adjust in Replyer's Sandbox.

Q. Why separate signal personas (hodler / panic / bullish_gamer)?

Market reply tone varies a lot (long-term / volatile / bull). A single persona can't cover all. Operators pick what matches their market view, or rotate by phase.

Q. casual_chat vs community_reactor?

casual_chat speaks first / replies in tone. community_reactor mainly reacts to member posts ("nice" / "wait"). Combine for a natural room feel.

Q. Can I make a 12th persona from scratch?

Yes. In Replyer's [Persona] page, create a new persona from blank + your system prompt / tone guide / reply rules. Flow in agent prompt writing guide.

Q. How are priority conflicts resolved?

Replyer's priority setting decides. Sidebar persona order = priority descending. Same priority → definition time / alphabetical. Explicit priority recommended.

Q. Which signal persona (hodler vs panic vs bullish_gamer)?

Match your market view. Long-term investor → hodler. Reactive to volatility → panic. Bullish phase optimism → bullish_gamer. Pick 1~2 that fit your room mood.

Q. Do the 11 templates auto-update?

Replyer updates may add / refine templates. Your refined personas are preserved (no overwrite). New templates appear in [Persona → templates], preview before applying.

Next steps

To start auto-replies in your chatroom, download Replyer for your OS and follow the usage manual for the step-by-step guide.