← Thursday's Architecture

Try Product Launch Orchestration System 🎮

Interactive demo - See Monday-Thursday come together in a working launch coordinator

August 1, 2025
🚀 Product Launch🎮 Interactive⚡ Production-Feel

From prompts to launch system in 4 days. Now orchestrate a real launch.

Monday: learned 3 launch prompts (checklist, timeline, analysis). Tuesday: automated cross-team coordination. Wednesday: saw how PM, marketing, engineering, and ops collaborate. Thursday: reviewed the orchestration architecture. Friday: try the actual system. Pick a launch scenario, watch AI coordinate teams, toggle between role views.

Try Different Scenarios

Or Select Complexity Level

💰 ROI & Cost Savings Calculator

Adjust sliders to see potential time and cost savings from launch automation for your team.

8 people

Number of people involved in typical launch (PM, marketing, engineering, ops, support)

$120,000

Average annual salary across launch team members

80 hrs

Total hours team spends coordinating a typical launch (meetings, emails, tracking)

12 launches

How many product launches, feature releases, or rollouts per year

70%

Expected time savings from AI-powered launch coordination

Annual Savings

$168,000

Per year with automation

Payback Period

3.6 mo

Time to recover investment

Before vs After Comparison

Annual Cost (Before)
70% reduction

Before

$240,000

After

$72,000

Time Spent (Before)
70% improvement

Before

4,160 hrs

After

1,248 hrs

Team Productivity
35% improvement

Before

100%

After

135%

Annual Savings
Infinity% improvement

Before

$0

After

$168,000

Time Saved
Infinity% improvement

Before

0 hrs

After

2,912 hrs

ROI Summary

3-Year Savings:$504,000
5-Year Savings:$840,000
ROI (Year 1):336%

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

🤖 Watch Agents Orchestrate Launch Coordination

See the orchestrator route between specialized agents to coordinate a complex product launch

Example Scenario
Major Product Launch with incomplete readiness (AI Analytics Suite case)
1
🎯Orchestrator
Route to Intake Agent
→ New launch details received
2
📥Intake Agent
Extract launch data
→ Found: AI Analytics Suite, Aug 15 launch, $299-899 pricing, 4 teams involved
3
🎯Orchestrator
Route to Validation Agent
→ Check readiness across teams
4
✓Validation Agent
Assess team readiness
→ INCOMPLETE: Engineering needs 1 week, webinar not scheduled, support plan missing
5
🎯Orchestrator
Route to Risk Agent (not Timeline Agent)
→ Analyze risk level
6
⚠️Risk Agent
Calculate launch risk
→ HIGH RISK: Timeline conflict + 2 critical gaps. Recommend delay or scope reduction.
7
🎯Orchestrator
Route to Question Agent
→ Generate questions to resolve blockers
8
?Question Agent
Generate 4 critical questions
→ Questions: Engineering commit date? Webinar schedule? Support plan? Press status?
9
🎯Orchestrator
Route to Recommendation Agent
→ Create action plan
10
💡Recommendation Agent
Generate recommendations
→ RECOMMEND: Delay launch to Aug 22 OR reduce scope to beta-only. Escalate to exec team.
11
🎯Orchestrator
Flag for executive review, queue notifications
→ High-risk launch flagged, notifications sent to PM/Marketing/Engineering leads
💡
No human intervention. Orchestrator made 6 routing decisions autonomously, adapting to the data at each step. This is multi-agent collaboration - each agent has a specialized role, and the orchestrator coordinates them based on context.

🛠️ Build Your Own Product 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 launch scenario (simple feature, major product, beta, emergency patch, enterprise rollout)
  2. 2Click 'Process Launch' to watch AI extract data and assess readiness
  3. 3See extraction → validation → coordination in real-time
  4. 4Toggle between Product Manager / Marketing / Engineering / Ops views
  5. 5Try all 5 scenarios to see different readiness levels and risks
  6. 6Check 'Agentic Workflow' section to see autonomous agent coordination
🚀

Want This Built for Your Product Team?

This demo shows what's possible. We build it production-ready, integrated with your tools (Notion, Linear, Slack, Jira), custom to your launch process, and scaled to your team size.