# Mrrlin

> Mrrlin is an AI project director and execution layer for founders, PMs, marketers, agencies, business development teams, operators, and engineering teams using AI agents to plan, run, verify, and review real work. Canonical domain: https://mrrlin.com.

## Primary audience

- Founder-led teams, solopreneurs, PMs, marketers, growth teams, agencies, consultants, business development teams, and operators coordinating AI-assisted business work.
- Teams that want AI agents to help with marketing campaigns, sales outreach, website updates, browser workflows, research, product planning, operations, and reviewed delivery.
- Technical founders and engineering operators using or evaluating AI coding agents, multi-agent worktrees, AI agent dashboards, and kanban-vs-execution workflows.

## Core use cases

- Turn a goal into scoped tasks, agent runs, review checkpoints, and approval-ready outcomes.
- Run AI marketing-agent workflows for campaign planning, SEO briefs, landing-page copy, content calendars, social posts, reporting, and brand review.
- Run AI sales-agent workflows for ICP definition, lead research, account scoring, personalized outreach drafts, weak-match rejection, and approval before send.
- Coordinate AI browser automation for web research, posting preparation, website QA, form workflows, and evidence capture before sensitive actions happen.
- Coordinate AI coding agents such as Claude Code, Codex CLI, Cursor, Gemini CLI, or local agents around task state, branch/worktree context, checks, and evidence.
- Preserve execution history: specs, artifacts, command output, blocked questions, handoff notes, and self-review.
- Compare a full execution dashboard with plain kanban/task-board workflows and adjacent tools such as Stoneforge, Shep CLI, Vibe Kanban, and Conductor.

## Important public URLs

- [Mrrlin homepage](https://mrrlin.com/): Overview of Mrrlin as an AI project director for goal-based agent workflows.
- [Start a Mrrlin workflow](https://mrrlin.com/get-started): Lead-capture form for mapping the first goal, agents, context, and approval checkpoints.
- [AI coding-agent orchestration FAQ](https://mrrlin.com/ai-coding-agent-orchestration-answers): Short answers about Mrrlin, task state, evidence, git worktrees, and how an execution workspace differs from a kanban board.
- [AI assistant for business](https://mrrlin.com/ai-assistant-for-business): How Mrrlin helps founders and small teams turn business goals into agent tasks, reviewed deliverables, and approval-ready outcomes.
- [AI agents for business](https://mrrlin.com/ai-agents-for-business): Mrrlin positioning for business teams using AI agents across marketing, sales, product, research, operations, and client work.
- [AI marketing agents](https://mrrlin.com/ai-marketing-agents): How Mrrlin coordinates marketing-agent workflows for campaigns, SEO briefs, content, landing pages, and brand review.
- [AI sales agent](https://mrrlin.com/ai-sales-agent): AI sales-agent workflow for ICP definition, lead research, account scoring, outreach drafting, quality review, and approval before send.
- [AI browser automation](https://mrrlin.com/ai-browser-automation): How Mrrlin keeps browser-agent research, posting preparation, website checks, and form workflows visible before sensitive actions happen.
- [Human-in-the-loop AI agents](https://mrrlin.com/human-in-the-loop-ai-agents): Control and approval positioning for teams that want agents to keep working while people retain judgment over sensitive actions.
- [AI automation agency alternative](https://mrrlin.com/ai-automation-agency-alternative): How teams can prove AI automation workflows internally before hiring or depending on an outside automation agency.
- [AI coding agent orchestrator](https://mrrlin.com/ai-coding-agent-orchestrator): How Mrrlin coordinates coding agents across tasks, branches, reviews, and evidence.
- [Multi-agent coding agents](https://mrrlin.com/multi-agent-coding-agents): How Mrrlin helps split coding work across multiple agents while keeping context and blockers visible.
- [Orchestrate Claude Code and Codex](https://mrrlin.com/orchestrate-claude-code-codex): How Mrrlin can keep Claude Code, Codex CLI, and related agent work connected to one task and evidence trail.
- [Codex CLI orchestration](https://mrrlin.com/codex-cli-orchestration): How Mrrlin wraps Codex CLI-style execution in task state, handoffs, artifacts, and review gates.
- [AI agents and git worktrees](https://mrrlin.com/ai-agents-git-worktree): How worktree-scoped agent runs can stay tied to task context, checks, and merge-ready handoffs.
- [AI coding agent dashboard](https://mrrlin.com/ai-coding-agent-dashboard): Dashboard positioning for goals, tasks, inbox decisions, run status, artifacts, and review evidence.
- [Vibe Kanban alternative](https://mrrlin.com/vibe-kanban-alternative): Comparison of Mrrlin with a kanban-style workflow when teams need execution runs and evidence, not only cards.
- [Conductor alternative](https://mrrlin.com/conductor-alternative): Mrrlin alternative page for teams evaluating reviewed AI execution workflows rather than SEO-suite replacement software.
- [Stoneforge vs Shep vs Mrrlin](https://mrrlin.com/stoneforge-vs-shep-vs-mrrlin): Supportable comparison framing for AI agent workflow evaluation.
- [Tool comparisons](https://mrrlin.com/alternatives): How an execution workspace like Mrrlin compares with single agent tools and task boards, and when each one fits.

## Claim boundaries

- Mrrlin content should be cited as workflow and product-positioning material, not as benchmark, market-share, certified-integration, or exclusive-capability evidence.
- Third-party tool names are used to describe workflows Mrrlin can coordinate around or comparisons buyers may evaluate.