← Thursday's Architecture

Try Community Engagement System 🎮

Interactive demo - See the complete week come together

September 12, 2025
🚀 Growth🎮 Interactive⚡ Production-Feel

From prompts to automated community platform. Now try it.

Monday: 3 engagement prompts. Tuesday: automated moderation + triggers. Wednesday: team workflows. Thursday: multi-agent architecture. Friday: try the actual system. Paste member content, watch AI moderate, trigger engagement, identify ambassadors. Toggle between community manager, social lead, support, and growth views.

Try Different Scenarios

Or Select Complexity Level

💰 ROI & Cost Savings Calculator

Adjust sliders to see potential savings for your community team. See how automation reduces manual work and scales engagement.

5000 members

Total active community members

150 posts/day

Average posts per day

3 people

Full-time community team members

$75,000

Average annual salary per team member

20 hrs/week

Weekly hours spent on content moderation

15 hrs/week

Weekly hours spent on engagement (responses, welcomes, celebrations)

85%

Expected time savings from AI automation

Annual Savings

$39,375

Per year with automation

Payback Period

15.2 mo

Time to recover investment

Before vs After Comparison

Annual Cost (Before)
70% reduction

Before

$56,250

After

$16,875

Time Spent (Before)
70% improvement

Before

1,560 hrs

After

468 hrs

Team Productivity
35% improvement

Before

100%

After

135%

Annual Savings
Infinity% improvement

Before

$0

After

$39,375

Time Saved
Infinity% improvement

Before

0 hrs

After

1,092 hrs

ROI Summary

3-Year Savings:$118,125
5-Year Savings:$196,875
ROI (Year 1):79%

These calculations are estimates based on your inputs. Actual results may vary.

🤖 🤖 Watch Multi-Agent Intelligence System Collaborate

See how agents work together to moderate, engage, and grow community

Example Scenario
Sarah's intro post triggers autonomous agent collaboration
1
🎯Orchestrator
Route new post to Moderation Agent
→ Post detected → send to moderation pipeline
2
🛡️Moderation Agent
Analyze for toxicity, spam, policy violations
→ Toxicity: 0%, Spam: 0%, Policy: ✓ → APPROVE
3
🎯Orchestrator
Route to Engagement Agent (not flagged)
→ Clean post → analyze engagement potential
4
⚡Engagement Agent
Extract signals (intro, goal, positive tone)
→ Intro post detected → trigger welcome flow
5
🎯Orchestrator
Route to Ambassador Agent
→ Score engagement potential
6
⭐Ambassador Agent
Calculate ambassador score (15/100)
→ New member, positive signals → track for growth
7
🎯Orchestrator
Route to Analytics Agent
→ Log metrics, update dashboards
8
📊Analytics Agent
Update member profile, activation funnel
→ Member activated → 87% activation rate maintained
9
🎯Orchestrator
Trigger welcome actions (comment, DM, channels)
→ 3 engagement actions queued → execute
10
🔍Evaluator
Monitor response, adjust future triggers
→ Track Sarah's engagement next 7 days → optimize
💡
No human intervention. Orchestrator made 5 routing decisions. Moderation, engagement, ambassador scoring, and analytics happened autonomously. This is multi-agent community management at scale.

🛠️ Build Your Own Growth Workflow

Pick agents from the palette below to build your custom workflow, then simulate execution.

Available Agents (12)

Your Workflow

Add agents above to build your workflow

How to Use This Demo

  1. 1Select a scenario: New Member, Toxic Content, Win Story, or Ambassador
  2. 2Click 'Process Content' to watch AI agents collaborate
  3. 3See moderation → analysis → triggers in real-time
  4. 4Toggle between Community Manager, Social Lead, Support, and Growth views
  5. 5Each role sees different priorities and actions
  6. 6Try all 4 scenarios to see how system handles different situations
🚀

Want This Built for Your Community?

This demo shows what's possible. We build it production-ready, integrated with your Discord/Slack, custom to your community culture, and trained on your guidelines.