Promptles is a scenario-based game for GTM engineers, PMs, designers, and enthusiasts shipping with AI agents — anyone who prompts Claude Code, Cursor, Replit Agents, or similar tools without a traditional software engineering background. You're handed real engineering tickets — debugging stack traces, refactoring across files, designing auth flows — and write the prompt you'd actually send. Each prompt is graded by Claude on the criteria a senior engineer would care about, and the expert prompt sits next to yours so you can read the gap.

Does Promptles use Claude?

Yes. Every prompt you write is graded by Claude Haiku 4.5, against a mix of deterministic pattern checks and AI-evaluated criteria. The Anthropic API is called server-side; players never need their own API key.

Do I need an Anthropic API key?

No. Promptles handles all AI calls server-side. Sign in once with your email and start playing — there's no key to paste, no provider to configure.

Is there a free tier?

Yes. The free tier includes the foundational scenarios, today's daily challenge, and pattern-based grading. Paid tiers (Solo, Lifetime, Team) add full AI grading, every scenario, and the daily archive.

How is Promptles different from other prompt engineering tutorials?

Most prompting tutorials teach you to write a single perfect prompt. Promptles grades multi-turn conversations: you write a prompt, see what Claude actually replies, then write the follow-up that fixes what's still wrong. The whole chain is graded, because that's what real software engineering work looks like.

Is Promptles useful for GTM engineers?

Yes — GTM engineers are a core audience. Building sales, marketing, and RevOps automation, internal tools, integrations, and AI agents means writing a lot of prompts to Claude Code, Cursor, Replit Agents, and similar tools. Promptles teaches the prompting rigor that gets reliable output the first time, so the integrations and agents you ship don't break the next morning. The vocabulary deck includes a dedicated GTM & Business Tools section covering the SaaS platforms, data models, and business concepts you'll be automating.

Can my team use Promptles?

Yes. The Team plan adds per-seat AI quotas and lets admins author custom scenarios for the team's codebase using AI assistance. Each member keeps their own progress and playbook; team-authored content shows up alongside the core library.

Context

Declare the Tools You Need

Name the tool or MCP server by name, and say what to do if it isn't reachable.

Coding assistants reach outside their window through tools and MCP servers: databases, issue trackers, internal APIs. Name the tool you expect it to use and what to do if that tool isn't available. That prevents the assistant from either hallucinating data or silently skipping the step.

Where you'll practice this

3 Promptles scenarios teach this principle directly. Each one drops you into a real engineering ticket and asks you to write the prompt you'd send to Claude Code.

Declare the Tools You Need
A support ticket says a handful of orders ended up stuck in a `failed` status last night. You want the assistant to query the production Postgres database (read-only) and show you the 10 most recent failed orders so you can triage. Your team has a Postgres MCP server already…
Tools the Skill Needs
You're authoring a `triage` skill that helps maintainers organize the issue tracker on a GitHub repo. The skill needs to: list open issues with no labels, read the bodies of stale issues, apply a small vocabulary of labels (`bug`, `feature`, `question`, `needs-repro`,…
When MCP Goes Dark
You're running a production incident: a customer reported a payment failure, and you want the agent to (a) pull the failing charge from the Stripe MCP and (b) post a status comment to the linked Linear issue. Both MCP servers are flaky in this environment — the Stripe MCP has…

Declare the Tools You Need

Where you'll practice this

Declare the Tools You Need

Tools the Skill Needs

When MCP Goes Dark

Other principles in Context

Describe Before You Prescribe

Describe the Data Shape

Explain the Integration Point

Keep Memory Reusable

Map to Real Components

Name the Framework