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Multi-agentProduct Development & LaunchAdvancedFree

Beta Testing & Early Access System.

4 agents, 4 deliverables.

Run a multi-agent workflow to produce an execution-ready beta testing & early access system deliverable.

WORKFLOW META
Agents4
Total tokens (avg)~500
Run time12 min
AI toolChatGPT · Claude · Gemini
Variables4
DifficultyAdvanced
CategoryProduct Development & Launch
SEQUENCE MAP · CLICK TO JUMP
· 01 ·
Beta Program Designer
· 02 ·
Beta Feedback System Builder
· 03 ·
Beta Community Manager
· 04 ·
Beta-to-Launch Transition Planner
USE CASE INPUTS

Set the workflow's inputs once.

These variables feed into every agent prompt below. Fill them once, then copy each agent in order.

{{product_feature_being_beta_tested}}
Product feature being beta tested
Product feature being beta tested
Mega Prompt Library with 3000+ prompts
{{beta_tester_target_count}}
Beta tester target count
Beta tester target count
50, 200, 1000
{{beta_duration}}
Beta duration
Beta duration
4 weeks, 8 weeks
{{primary_question_to_answer_in_beta}}
Primary question to answer in beta
Primary question to answer in beta
'Does the onboarding work?' / 'Will they pay?'
THE AGENTS

The 4-step sequence.

01
AGENT · BETA PROGRAM

Beta Program Designer

GOAL OF THIS STEP

Design the beta program structure: tester recruitment criteria (who qualifies — the 3 characteristics of an ideal beta tester for this product), the recruitment channels (where to find them), the incentive structure (what do they get in return for feedback?), the access model (open vs. invite-only, waitlist vs. rolling admissions), and the beta agreement terms (what testers commit to, what you commit to them).

EXPECTED OUTPUT

Beta program design: criteria + channels + incentive + access model + agreement terms

agent-01-beta-program-designer.md
### Input
Product, tester count, duration, primary question

### Task
Design the beta program structure: tester recruitment criteria (who qualifies — the 3 characteristics of an ideal beta tester for this product), the recruitment channels (where to find them), the incentive structure (what do they get in return for feedback?), the access model (open vs. invite-only, waitlist vs. rolling admissions), and the beta agreement terms (what testers commit to, what you commit to them).

### Output
Beta program design: criteria + channels + incentive + access model + agreement terms
02
AGENT · BETA FEEDBACK

Beta Feedback System Builder

03
AGENT · BETA COMMUNITY

Beta Community Manager

04
AGENT · BETA-TO-LAUNCH TRANSITION

Beta-to-Launch Transition Planner

HOW TO RUN

Three steps. 12 min.

STEP 01

Fill in the variables at the top. Copy them into a note or your tool's context window — every agent below uses them.

STEP 02

In your AI tool, paste Agent 1 and run it. Copy the output. Paste Agent 2 with the output appended. Repeat in order for all 4 agents.

STEP 03

At the final agent, review and refine. It outputs your finished deliverable, ready to publish or hand off.

WHAT YOU GET

The final output, end-to-end.

Beta Program Designer

Beta program design: criteria + channels + incentive + access model + agreement terms

Beta Feedback System Builder

5 feedback instruments fully designed + the primary question metric defined

Beta Community Manager

Onboarding message + weekly newsletter template + recognition system + community structure + bug escalation path

Beta

to-Launch Transition Planner – Launch readiness checklist + beta migration plan + insider announcement + public learnings summary + retrospective agenda

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100 production-ready workflows like this one. Agent prompts, variable cheat-sheets, and the operator's guide.

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