Senior-grade PRD — from the first prompt
You describe the task in Claude, Cursor or ChatGPT — Monstro gathers the context and returns a reference-grade document with depth and recommendations. Save hours of rework.
⚡ Connects over MCP in a couple of clicks, no config · $20/mo
This is exactly what Monstro takes off your plate.
“Tired of redoing docs in circles”
A reference result on the first pass: PRD, Roadmap, UX-flow, analytics. No endless iterations and edits.
“Not sure my output is market-grade”
A senior standard as your benchmark. Hand work to a client with no doubt about its level.
“I want my own agent stack, but no time to dig into it”
We handle selection, setup and updates for new models. You set the task — you get the finished result.
“Everyone on the team does it differently”
One standard and shared context for everyone — the whole team works in sync.
Prompt → a ready PRD.
A short dialog on the left — a finished senior document on the right. Nothing to configure.
Write a PRD for a referral program for our fintech app (neobank N). Product context is in @context.md.
A couple of questions:
- Reward — cash or a product bonus?
- Count a referral right away or after the friend activates?
- Break the rollout into phases?
Cash, both sides; on activation; yes, in phases.
Done — the PRD is on the right: state machine, metrics with baselines, USM, funnel and acceptance cases. Debatable points are flagged in open questions.
✓ checked against the rubric: metrics · edge · fraud
Less rework. More depth. All in a single pass.
Critiques itself like a senior — and rewrites.
It gathers context, drafts, checks against a senior rubric and strengthens the weak spots. The output is a worked-through result, not a raw first answer.
You pay for the result, not for tokens.
One pass instead of 10–20 rounds of “do it properly” — tokens are already included in the Credit.
A swarm of sub-agents per task, not a single prompt.
Each task gets its own set of sub-agents and skills. We pick and assemble it — you don’t have to.
It checks what usually surfaces after handoff.
Negative scenarios, edge cases and risks are built into the process — they don’t pop up in front of a stakeholder.
Output in a format your team can use.
One senior standard for everyone — work you can show your team and client right away.
All of a PM’s work. In one agent.
Not separate prompts for every task, but one agent that knows the PM craft and switches modes itself.
Three steps to the result.
Connect in a couple of clicks
Monstro hooks into Claude, ChatGPT or your editor (Cursor, VS Code, Claude Code) over MCP. In 1 minute — no config, no API keys of your own.
Call the agent
Describe the task in plain text. The agent picks the right sub-agents itself.
Get the artifact
A ready PRD, research or USM in a format you can proudly show your team.
rebuilt for the latest models
2 days ago
what’s new: added a sub-agent for
competitive analysis
Models change every month. Your agent does too.
A prompt set built for an old model quietly degrades with every release. We do that work for you: we test builds on new models, reassemble the best skill combinations and hold the quality. You’re always on the top build and configure nothing.
Honest agent scoring. In the open.
We’re building an engine that runs different agents on the same tasks and, across dozens of criteria, shows who’s better and where. No “stars” and no marketing — just run results, out in the open.
Methodology and runs are open — you can double-check.
We benchmark ourselves too. If we lose on a task, we’ll show it.
Recomputed for new models — not a one-off PDF.
Why not just build such an agent yourself?
You can. The question is at what quality and at what cost in time.
| Capability | Bare prompt | GitHub skill | Monstro |
|---|---|---|---|
| Goal-directed for the task | |||
| Metrics with baselines | sometimes | ||
| Negative / edge cases | rarely | ||
| Self-critique & rewriting | |||
| Risk / anti-fraud sections | |||
| One standard for the team | |||
| Freshness for new models | goes stale | ||
| Checked on evals | stars ≠ quality | ||
| Entry barrier | raw | hours to assemble | 1 click |
Pricing.
1 Credit = 1 finished artifact (PRD, research, USM…), built by the full workflow. Unused Credits roll over for 1 month.
- 100 Credits / mo (≈ 100 documents — 3–4 a day)
- Any environment (IDE + AI desktop)
- Always the latest build
- Priority queue
- Telegram support
- 500 Credits / mo for the team (≈ 500 documents)
- Everything in Pro
- Shared access and one senior artifact standard for everyone
- Priority support
- Name the price you’d connect Monstro for
Answers to the key questions.
How is this better than just asking ChatGPT or Cursor?
Do I need my own API keys or a model subscription?
What about my data?
Which IDEs are supported?
I’m not a developer. Will I figure it out?
How is this better than a free set of prompts from GitHub?
Join the top 1%
who get the most out of AI.
Most people write prompts and redo them. You work alongside a senior brain in your usual environment (ChatGPT / Claude / Cursor etc.) — you get a worked-through result and see where to dig deeper.
We’ll send access to your work email. For now Monstro is for PMs; next — marketing, design, support, analytics.
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