PM in Product

Configure cross-session user memory and multi-profile isolation for AI agents.

Score a design against Dieter Rams' principles and create a plan to improve it.

Execute multi-phase plans by coordinating specialized subagents.

Run plans through adversarial debate to find weak spots and defensible insights.

Create intelligent multi-step plans to achieve complex objectives using adaptive reasoning.

Track and manage multi-turn objectives across conversation sessions.

Diagnose your AI project and create an optimal technical roadmap in Spanish.

Inject domain-specific knowledge, regulations, and industry standards into your project.

Create and manage markdown plans to track goals, findings, and progress on complex tasks.

Analyze your app listing against best practices and get a prioritized optimization plan.

Find ideal partners and plan joint marketing campaigns with other companies.

Write B2B cold emails and follow-up sequences designed to get replies.

Build and grow online communities to drive product adoption and customer loyalty.

Create SEO-optimized comparison pages positioning your product against competitors.

Analyze customer interviews, surveys, and reviews to uncover what customers think and need.

Submit your product to startup and SaaS directories for backlinks and discovery.

Manage durable task tracking, dependencies, and blockers for shared project work.

Organize complex projects using persistent markdown files to track tasks and progress.

Organize complex projects by breaking them into tasks and tracking progress in markdown files.

Keep task plans and progress in markdown files that survive context loss.

Organize complex projects using persistent markdown files to track plans, progress, and findings.

Take a quick quiz to find your starting point in an AI engineering curriculum.

Analyze RFP requirements, build competitor comparisons, and plan proof-of-concept engagements.

Prepare tough answers and narratives for adversarial board questions.

Navigate difficult choices with no clear right answer using structured analysis.

Challenge your business assumptions by stress-testing revenue, market size, and competitive risks.

Run a structured multi-perspective executive deliberation to make strategic decisions without groupthink.

Get executive guidance on strategy, fundraising, board management, and organizational leadership.

Guide teams through organizational changes using the ADKAR model and communication strategies.

Route founder questions to advisors, coordinate board meetings, and synthesize decisions.

Generate SEO-optimized comparison and alternatives pages targeting competitive keywords.

Compare Claude and GPT answers through rounds of mutual critique before synthesizing.

Delegate tasks to a CCB agent with configurable feedback and silence modes.

Review project positioning, release strategy, and breaking changes for APM.

Record binding decisions with problem frame, rationale, and consequences.

Generate 3–5 distinct solution approaches with explicit weaknesses for each.

Adopt a specific agent role and governance scope for the current session.

Build lean products using 37signals philosophy: fixed timelines, flexible scope, small teams.

Create uncontested market space through value innovation instead of direct competition.

Generate customer-friendly release notes from git commit history automatically.

Generate creative domain name ideas and check availability across multiple extensions.

Automatically extract and organize invoices and receipts into tax-ready folders.

Find and qualify high-quality sales leads by analyzing your business and target market.

Save conversations and insights to Notion as organized documentation pages.

Generate professional PowerPoint presentations with structured content, charts, and speaker notes.

Design statistically rigorous A/B tests and interpret results with recommendations.

Execute Paca tasks end-to-end, including reading requirements, doing the work, and updating status.

Convert product requirements into structured epics with user stories and spec documents.

Design statistically valid experiments and split tests for your product.

Generate five concrete daily actions scored by impact and filtered for specificity.

Create comprehensive agile epics with business value, success criteria, and user stories.

Get executive guidance on strategy, technology, growth, and competitive intelligence decisions.

Research real A/B tests from other apps to inform your growth and product strategy.

Find unexpected design inspiration by exploring patterns from unrelated industries and domains.

Convert goals and artifacts into execution packets for downstream processing.

Load named personas that shift how Claude approaches tasks and reviews work.

Scaffold an AI agent harness in one command from pre-built templates.

Scaffold a custom AI agent harness with CLI, MCP server, and marketplace identity.

Present completed work results and ask user to confirm or reject acceptance.

Calculate customer acquisition cost, lifetime value, and payback period by channel.

Identify and analyze direct, indirect, and emerging competitors with market positioning gaps.

Reduce SaaS customer churn with save offers, surveys, payment recovery, and win-back campaigns.

Find, audit, and design AI agent loops with safe triggers, actions, and stopping conditions.

Manage tasks, boards, and workflows in your terminal with a CLI kanban tool.

Define testable hypotheses with success metrics to validate assumptions before building.

Map customer motivations across functional, emotional, and social dimensions.

Break down objectives into focused, scoped work units with clear success criteria.

Convert user requests into structured goals and objectives.

Track project tasks, subtasks, and dependencies as an interactive graph.

Manage AI agent companies, tasks, and operations via CLI or REST API.

Get strategic analysis from multiple independent expert perspectives on business decisions.

Generate multiple creative solutions in parallel for open-ended design problems.

Orchestrate complex work by breaking tasks into lanes and tracking progress across teams.

Stress-test your plan with relentless questions until you reach shared understanding.

Rank and organize the next ready work item into a Goal Packet.

Brainstorm ideas with a partner LLM in alternating turns, then synthesize the best into a plan.

Query persistent project context and past decisions before starting agent work.

Validate crypto startup ideas and decide whether they're worth building.

Prepare a winning hackathon submission with track selection, demo scripts, and judging checklists.

Build investor pitch decks with interview-driven narratives and speaking notes.

Store and recall shared decisions across multiple agents and sessions.

Create, improve, and test skills with performance evaluation and benchmarking.

Generate a tailored interview guide with technical Q&A, behavioral prep, and scoring rubrics.

Record and query project decisions with timestamps, rationale, and consequences.