Agents
LaunchPulse agents are your build system: they transform product intent into scoped plans, implementation steps, and quality loops. Choosing the right mode keeps your team faster and your outputs more predictable.How the LaunchPulse build system works
Agent comparison
| Option | Best for | How it works | When to start with it |
|---|---|---|---|
| Autonomous AI Software Engineer | First MVP builds | One primary agent handles plan-to-build flow | Day 1 for most founders |
| Feature Builder | Better scoping before coding | Generates editable feature plan and priorities | Before approving a build |
| Custom Agents | Repeated specialist tasks | Reusable role-based agents with custom prompts/tools | When workflows repeat |
| AI Multi-Agent Mode | Larger or complex projects | Specialist agents collaborate via handoffs | When work needs role separation |
| Testing Agent | Higher release confidence | Structured test planning and validation loops | Before major launches |
| LaunchPulseClaw | Early advanced extension workflow | Hosted OpenClaw-based extension path | If you need experimental advanced control |
Which one should I use?
- I’m launching first MVP quickly: start with Autonomous AI Software Engineer
- My prompts are broad and messy: add Feature Builder before build approval
- My team repeats QA/review prompts: create Custom Agents
- My product has many modules/owners: explore AI Multi-Agent Mode
- I’m preparing for launch week: run Testing Agent
Example scenarios
- Solo founder shipping a B2B SaaS MVP in one focused sprint
- Product team splitting planning, implementation, and QA responsibilities
- Agency reusing custom review/testing agent setups across client projects
Screenshot placeholders
[Screenshot placeholder: Agent selection screen during project setup]
[Screenshot placeholder: Multi-agent workflow or handoff view]