// Usage & limits

Usage & limits — live quota tracking, model costs, and project telemetry

Track live quotas, rate limits, reset times, and token usage bars for Claude Code, Codex, Cursor, Grok CLI, and OpenCode. Monitor per-thread and per-model costs per workspace alongside Search Console metrics, Bing Webmaster data, and Stripe revenue.

Download See pricing

Aiola

Monitor

Tools

Recents

Project Knowledge Base

App Name

App Email (Contact)

Production URL

Core Purpose & Goal

Aiola gives developers and small teams a single desktop command center for building and shipping multiple software projects with AI agents. It replaces a fragmented stack of project, error, feedback, and analytics tools with one unified workspace that lets agents act on all of it automatically.

Target Customers

Indie hackers, solo founders, and small development teams (1–5 people) who are already using AI coding assistants seriously and are managing more than one project at a time. They want the output of a full development team without the headcount, and they are frustrated that agentic workflows still require constant manual supervision.

Brand Voice

Direct, builder-friendly, and action-oriented — speaks to serious developers without enterprise jargon, confident in the value it delivers

Core Values

Ship faster, Reduce context-switching, Agent-powered autonomy, Local-first, Multi-project by design, Builder respect

Go-to-market Strategy

Distributed as a downloadable desktop app (macOS and Windows) with self-serve sign-up and a 7-day free trial. Pricing scales on analytics event volume with monthly and annual Pro tiers. Growth is targeted at AI-early-adopter communities — indie hackers, solo founders, and small teams already using Claude Code or Codex — through developer-facing channels and word of mouth.

# Aiola — Product & Marketing Brief

## What this app is

Aiola is a desktop app that gives indie developers, founders, and small teams a single control center for building and shipping multiple software projects with AI agents. It sits on top of AI coding assistants (like Claude Code and Codex) and turns their raw capability into tracked tasks, scheduled automation runs, auto-created pull requests, and shipped features — all visible across every project at once.

Think of it as the operations layer between your AI coding tools and your actual products. It is not a code editor, not a chat client, not a project management tool in isolation, and not a monitoring dashboard in isolation. It is all of those things working together, purpose-built for the solo developer or small team running multiple projects simultaneously.

---

## The problem it solves

Developers who use AI coding tools today still spend enormous amounts of time context-switching. Errors appear in one tab, user feedback lands in another, open PRs sit in a third, analytics in a fourth. Every project has its own dashboard, its own alert, its own mental overhead. Keeping tabs on six projects at once means six browser windows, six notification streams, and zero time to actually build.

On top of that, AI coding assistants — as powerful as they are — operate on a single repo in a single session. There is no way to say "keep an eye on errors across all my projects and auto-fix anything critical while I sleep." There is no automation layer. Work is still manual: you notice a bug, you open a thread, you ask the agent to fix it, you shepherd the PR. Multiply that by eight projects and the workflow breaks down.

Aiola closes that gap. It watches everything, surfaces what needs attention, and lets agents act on it — automatically or on demand — without forcing the developer to become a full-time project manager.

---

## Target users

**Indie hackers** who are running multiple side projects in parallel and want the productivity of a full development team without the headcount.

**Solo founders** who are building SaaS products with AI assistance and need to stay on top of errors, user feedback, and shipping cadence across their portfolio.

**Small development teams** (2–5 people) who want a shared view of what agents are doing, what tasks are in flight, and what is ready to ship — without paying for a stack of separate SaaS tools.

**Agencies** that manage multiple client codebases and need project-level isolation combined with portfolio-level visibility.

The common thread: people who are already using AI coding tools seriously, have more than one project in flight, and are frustrated that "agentic" still requires constant manual supervision.

---

## Core features

- **Multi-workspace dashboard** — Every repository is its own workspace with isolated chat threads, tasks, automations, settings, and knowledge. A central command view aggregates read-only data across all workspaces so nothing falls through the cracks.

- **AI chat & named agents** — A full conversational interface backed by configurable AI agents. Agents can be given names, icons, custom instructions, skills, and memory. Pre-built templates include Code Reviewer, QA Agent, Security Agent, Research Agent, and more.

- **Task board** — A Kanban-style board (also viewable as a list) for tracking work from backlog through to shipped. Tasks carry priority, labels, assignees, due dates, estimated time, subtasks, attachments, and a full timeline. Tasks can be linked to each other and broken out of a planning document automatically.

- **Auto-PR pipeline** — Move a task to the "Create PR" state and the agent handles everything: it creates a branch, commits the work, pushes, and opens a pull request with an auto-generated description. Each task runs in an isolated Git worktree so branches never collide.

- **Automations** — Scheduled agentic jobs that run on a cron-style schedule or on demand. Automations can reference files, agents, tasks, error logs, feedback, and open issues in their prompts — enabling fully hands-off workflows like nightly error sweeps or weekly changelog generation.

- **App logs & error triage** — Real-time error grouping with stack traces, breadcrumbs, and full context. Agents can analyze root cause or jump straight into a fix thread. Errors stream live via WebSocket and roll up across all workspaces in the central view.

- **User feedback hub** — Captures user-submitted bug reports and feature requests. Each item can be triaged, prioritized, and converted into a task with one action. Custom field definitions allow per-project configuration. Rolls up across workspaces centrally.

- **GitHub integration** — View open issues and pull requests, trigger AI code review on incoming PRs, or kick off an AI-powered fix flow directly from a PR. Optionally auto-posts a summary comment back to GitHub after review.

- **Analytics dashboard** — Per-project web analytics (visitors, pageviews, revenue, funnels, heatmaps, retention, user journeys, UTM attribution, geo breakdowns, real-time visitor globe). Supports custom date ranges, segment filters, and rolls up across projects in the central view.

- **Plan editor** — A rich-text planning document (nested blocks, headings, checklists, toggles, callouts) where ideas can be drafted and then broken out into tasks on the board.

- **Calendar** — A daily time-grid view showing scheduled tasks and automation runs side by side, timezone-aware, so the developer can see the full shape of a day's planned work.

- **Terminals** — Integrated terminal sessions tied to each workspace. Every command stays in context with the project it belongs to.

- **Settings & integrations** — Per-workspace configuration for API keys, GitHub auth, analytics connection, error tracking, MCP (Model Context Protocol) servers, environment variables, global agent instructions, and usage/billing.

- **Desktop-native experience** — Auto-updates, custom appearance controls (sidebar transparency, color themes, border radius), and native window behavior. No browser tab required.

How it works

Real-time provider limits, token spend, search engine signals, and ingestion keys.

Live provider quota tracking

Monitor rate limits, reset times, and token usage bars in real time for Claude Code, Codex, Cursor, Grok CLI, and OpenCode.

Aiola

Monitor

Tools

Recents

Project Knowledge Base

App Name

App Email (Contact)

Production URL

Core Purpose & Goal

Aiola gives developers and small teams a single desktop command center for building and shipping multiple software projects with AI agents. It replaces a fragmented stack of project, error, feedback, and analytics tools with one unified workspace that lets agents act on all of it automatically.

Target Customers

Indie hackers, solo founders, and small development teams (1–5 people) who are already using AI coding assistants seriously and are managing more than one project at a time. They want the output of a full development team without the headcount, and they are frustrated that agentic workflows still require constant manual supervision.

Brand Voice

Direct, builder-friendly, and action-oriented — speaks to serious developers without enterprise jargon, confident in the value it delivers

Core Values

Ship faster, Reduce context-switching, Agent-powered autonomy, Local-first, Multi-project by design, Builder respect

Go-to-market Strategy

Distributed as a downloadable desktop app (macOS and Windows) with self-serve sign-up and a 7-day free trial. Pricing scales on analytics event volume with monthly and annual Pro tiers. Growth is targeted at AI-early-adopter communities — indie hackers, solo founders, and small teams already using Claude Code or Codex — through developer-facing channels and word of mouth.

# Aiola — Product & Marketing Brief

## What this app is

Aiola is a desktop app that gives indie developers, founders, and small teams a single control center for building and shipping multiple software projects with AI agents. It sits on top of AI coding assistants (like Claude Code and Codex) and turns their raw capability into tracked tasks, scheduled automation runs, auto-created pull requests, and shipped features — all visible across every project at once.

Think of it as the operations layer between your AI coding tools and your actual products. It is not a code editor, not a chat client, not a project management tool in isolation, and not a monitoring dashboard in isolation. It is all of those things working together, purpose-built for the solo developer or small team running multiple projects simultaneously.

---

## The problem it solves

Developers who use AI coding tools today still spend enormous amounts of time context-switching. Errors appear in one tab, user feedback lands in another, open PRs sit in a third, analytics in a fourth. Every project has its own dashboard, its own alert, its own mental overhead. Keeping tabs on six projects at once means six browser windows, six notification streams, and zero time to actually build.

On top of that, AI coding assistants — as powerful as they are — operate on a single repo in a single session. There is no way to say "keep an eye on errors across all my projects and auto-fix anything critical while I sleep." There is no automation layer. Work is still manual: you notice a bug, you open a thread, you ask the agent to fix it, you shepherd the PR. Multiply that by eight projects and the workflow breaks down.

Aiola closes that gap. It watches everything, surfaces what needs attention, and lets agents act on it — automatically or on demand — without forcing the developer to become a full-time project manager.

---

## Target users

**Indie hackers** who are running multiple side projects in parallel and want the productivity of a full development team without the headcount.

**Solo founders** who are building SaaS products with AI assistance and need to stay on top of errors, user feedback, and shipping cadence across their portfolio.

**Small development teams** (2–5 people) who want a shared view of what agents are doing, what tasks are in flight, and what is ready to ship — without paying for a stack of separate SaaS tools.

**Agencies** that manage multiple client codebases and need project-level isolation combined with portfolio-level visibility.

The common thread: people who are already using AI coding tools seriously, have more than one project in flight, and are frustrated that "agentic" still requires constant manual supervision.

---

## Core features

- **Multi-workspace dashboard** — Every repository is its own workspace with isolated chat threads, tasks, automations, settings, and knowledge. A central command view aggregates read-only data across all workspaces so nothing falls through the cracks.

- **AI chat & named agents** — A full conversational interface backed by configurable AI agents. Agents can be given names, icons, custom instructions, skills, and memory. Pre-built templates include Code Reviewer, QA Agent, Security Agent, Research Agent, and more.

- **Task board** — A Kanban-style board (also viewable as a list) for tracking work from backlog through to shipped. Tasks carry priority, labels, assignees, due dates, estimated time, subtasks, attachments, and a full timeline. Tasks can be linked to each other and broken out of a planning document automatically.

- **Auto-PR pipeline** — Move a task to the "Create PR" state and the agent handles everything: it creates a branch, commits the work, pushes, and opens a pull request with an auto-generated description. Each task runs in an isolated Git worktree so branches never collide.

- **Automations** — Scheduled agentic jobs that run on a cron-style schedule or on demand. Automations can reference files, agents, tasks, error logs, feedback, and open issues in their prompts — enabling fully hands-off workflows like nightly error sweeps or weekly changelog generation.

- **App logs & error triage** — Real-time error grouping with stack traces, breadcrumbs, and full context. Agents can analyze root cause or jump straight into a fix thread. Errors stream live via WebSocket and roll up across all workspaces in the central view.

- **User feedback hub** — Captures user-submitted bug reports and feature requests. Each item can be triaged, prioritized, and converted into a task with one action. Custom field definitions allow per-project configuration. Rolls up across workspaces centrally.

- **GitHub integration** — View open issues and pull requests, trigger AI code review on incoming PRs, or kick off an AI-powered fix flow directly from a PR. Optionally auto-posts a summary comment back to GitHub after review.

- **Analytics dashboard** — Per-project web analytics (visitors, pageviews, revenue, funnels, heatmaps, retention, user journeys, UTM attribution, geo breakdowns, real-time visitor globe). Supports custom date ranges, segment filters, and rolls up across projects in the central view.

- **Plan editor** — A rich-text planning document (nested blocks, headings, checklists, toggles, callouts) where ideas can be drafted and then broken out into tasks on the board.

- **Calendar** — A daily time-grid view showing scheduled tasks and automation runs side by side, timezone-aware, so the developer can see the full shape of a day's planned work.

- **Terminals** — Integrated terminal sessions tied to each workspace. Every command stays in context with the project it belongs to.

- **Settings & integrations** — Per-workspace configuration for API keys, GitHub auth, analytics connection, error tracking, MCP (Model Context Protocol) servers, environment variables, global agent instructions, and usage/billing.

- **Desktop-native experience** — Auto-updates, custom appearance controls (sidebar transparency, color themes, border radius), and native window behavior. No browser tab required.

Per-thread and per-model cost breakdowns

Inspect token counts and financial costs broken down per thread and per model across every workspace.

Aiola

Monitor

Tools

Recents

Sources

Referrer

google.com

1,0153,020

Direct/None

8041,635

bing.com

63128

x.com

25114

chatgpt.com

24142

perplexity.ai

2283

duckduckgo.com

2165

reddit.com

1445

linkedin.com

Pages

Page

/product/analytics

7,24112,240

/product/github

5,2189,142

/pricing

4,9888,614

/product/tasks

4,1167,022

/product/feedback

3,7126,288

/product/app-logs

3,3516,014

/product/agents

2,9205,109

/product/notebook

2,1443,810

/changelog

1,8262,960

/comparisons/codex

1,4382,417

Locations

Country

🇺🇸United States

6,21816,834

🇬🇧United Kingdom

2,3846,015

🇩🇪Germany

1,8634,934

🇮🇳India

1,7084,410

🇨🇦Canada

1,3963,655

🇫🇷France

1,1212,866

🇬🇷Greece

8422,017

🇦🇺Australia

7341,791

Tech

Browser

Chrome

9,64427,414

Safari

3,72810,106

Firefox

2,1525,633

Behaviour

VisitorSourceSpentDurationLast seen

Traffic spread

LessMore

Mon

Tue

Wed

Thu

Fri

Sat

Sun

Indexing

248 inspected

33 issues

7 issues

Search engine integrations

Connect Google Search Console and Bing Webmaster tools to monitor search queries, clicks, impressions, position, and indexing issues.

Aiola

Monitor

Tools

Recents

What should we work on today?

Friday, 16 October 2026

10:00

11:00

12:00

13:00

14:00

15:00

16:00

17:00

Fix auto-PR worktree collision

Error sweep across workspaces

Review onboarding copy

11:20

Upcoming this week

Needs attention

Fix these so Aiola keeps sending complete data to Aiola.

Analytics snippet not detected on /pricing

Add the snippet so visits on that page are counted.

Notifications3

// Features

Monitor quotas, costs, and traffic. Real-time provider limits, token spend, search engine signals, and ingestion keys.

Aiola

Monitor

Tools

Recents

Project Knowledge Base

App Name

App Email (Contact)

Production URL

Core Purpose & Goal

Aiola gives developers and small teams a single desktop command center for building and shipping multiple software projects with AI agents. It replaces a fragmented stack of project, error, feedback, and analytics tools with one unified workspace that lets agents act on all of it automatically.

Target Customers

Indie hackers, solo founders, and small development teams (1–5 people) who are already using AI coding assistants seriously and are managing more than one project at a time. They want the output of a full development team without the headcount, and they are frustrated that agentic workflows still require constant manual supervision.

Brand Voice

Direct, builder-friendly, and action-oriented — speaks to serious developers without enterprise jargon, confident in the value it delivers

Core Values

Ship faster, Reduce context-switching, Agent-powered autonomy, Local-first, Multi-project by design, Builder respect

Go-to-market Strategy

Distributed as a downloadable desktop app (macOS and Windows) with self-serve sign-up and a 7-day free trial. Pricing scales on analytics event volume with monthly and annual Pro tiers. Growth is targeted at AI-early-adopter communities — indie hackers, solo founders, and small teams already using Claude Code or Codex — through developer-facing channels and word of mouth.

# Aiola — Product & Marketing Brief

## What this app is

Aiola is a desktop app that gives indie developers, founders, and small teams a single control center for building and shipping multiple software projects with AI agents. It sits on top of AI coding assistants (like Claude Code and Codex) and turns their raw capability into tracked tasks, scheduled automation runs, auto-created pull requests, and shipped features — all visible across every project at once.

Think of it as the operations layer between your AI coding tools and your actual products. It is not a code editor, not a chat client, not a project management tool in isolation, and not a monitoring dashboard in isolation. It is all of those things working together, purpose-built for the solo developer or small team running multiple projects simultaneously.

---

## The problem it solves

Developers who use AI coding tools today still spend enormous amounts of time context-switching. Errors appear in one tab, user feedback lands in another, open PRs sit in a third, analytics in a fourth. Every project has its own dashboard, its own alert, its own mental overhead. Keeping tabs on six projects at once means six browser windows, six notification streams, and zero time to actually build.

On top of that, AI coding assistants — as powerful as they are — operate on a single repo in a single session. There is no way to say "keep an eye on errors across all my projects and auto-fix anything critical while I sleep." There is no automation layer. Work is still manual: you notice a bug, you open a thread, you ask the agent to fix it, you shepherd the PR. Multiply that by eight projects and the workflow breaks down.

Aiola closes that gap. It watches everything, surfaces what needs attention, and lets agents act on it — automatically or on demand — without forcing the developer to become a full-time project manager.

---

## Target users

**Indie hackers** who are running multiple side projects in parallel and want the productivity of a full development team without the headcount.

**Solo founders** who are building SaaS products with AI assistance and need to stay on top of errors, user feedback, and shipping cadence across their portfolio.

**Small development teams** (2–5 people) who want a shared view of what agents are doing, what tasks are in flight, and what is ready to ship — without paying for a stack of separate SaaS tools.

**Agencies** that manage multiple client codebases and need project-level isolation combined with portfolio-level visibility.

The common thread: people who are already using AI coding tools seriously, have more than one project in flight, and are frustrated that "agentic" still requires constant manual supervision.

---

## Core features

- **Multi-workspace dashboard** — Every repository is its own workspace with isolated chat threads, tasks, automations, settings, and knowledge. A central command view aggregates read-only data across all workspaces so nothing falls through the cracks.

- **AI chat & named agents** — A full conversational interface backed by configurable AI agents. Agents can be given names, icons, custom instructions, skills, and memory. Pre-built templates include Code Reviewer, QA Agent, Security Agent, Research Agent, and more.

- **Task board** — A Kanban-style board (also viewable as a list) for tracking work from backlog through to shipped. Tasks carry priority, labels, assignees, due dates, estimated time, subtasks, attachments, and a full timeline. Tasks can be linked to each other and broken out of a planning document automatically.

- **Auto-PR pipeline** — Move a task to the "Create PR" state and the agent handles everything: it creates a branch, commits the work, pushes, and opens a pull request with an auto-generated description. Each task runs in an isolated Git worktree so branches never collide.

- **Automations** — Scheduled agentic jobs that run on a cron-style schedule or on demand. Automations can reference files, agents, tasks, error logs, feedback, and open issues in their prompts — enabling fully hands-off workflows like nightly error sweeps or weekly changelog generation.

- **App logs & error triage** — Real-time error grouping with stack traces, breadcrumbs, and full context. Agents can analyze root cause or jump straight into a fix thread. Errors stream live via WebSocket and roll up across all workspaces in the central view.

- **User feedback hub** — Captures user-submitted bug reports and feature requests. Each item can be triaged, prioritized, and converted into a task with one action. Custom field definitions allow per-project configuration. Rolls up across workspaces centrally.

- **GitHub integration** — View open issues and pull requests, trigger AI code review on incoming PRs, or kick off an AI-powered fix flow directly from a PR. Optionally auto-posts a summary comment back to GitHub after review.

- **Analytics dashboard** — Per-project web analytics (visitors, pageviews, revenue, funnels, heatmaps, retention, user journeys, UTM attribution, geo breakdowns, real-time visitor globe). Supports custom date ranges, segment filters, and rolls up across projects in the central view.

- **Plan editor** — A rich-text planning document (nested blocks, headings, checklists, toggles, callouts) where ideas can be drafted and then broken out into tasks on the board.

- **Calendar** — A daily time-grid view showing scheduled tasks and automation runs side by side, timezone-aware, so the developer can see the full shape of a day's planned work.

- **Terminals** — Integrated terminal sessions tied to each workspace. Every command stays in context with the project it belongs to.

- **Settings & integrations** — Per-workspace configuration for API keys, GitHub auth, analytics connection, error tracking, MCP (Model Context Protocol) servers, environment variables, global agent instructions, and usage/billing.

- **Desktop-native experience** — Auto-updates, custom appearance controls (sidebar transparency, color themes, border radius), and native window behavior. No browser tab required.

Live provider quota tracking

Monitor rate limits, reset times, and token usage bars in real time for Claude Code, Codex, Cursor, Grok CLI, and OpenCode.

Explore

Aiola

Monitor

Tools

Recents

Project Knowledge Base

App Name

App Email (Contact)

Production URL

Core Purpose & Goal

Aiola gives developers and small teams a single desktop command center for building and shipping multiple software projects with AI agents. It replaces a fragmented stack of project, error, feedback, and analytics tools with one unified workspace that lets agents act on all of it automatically.

Target Customers

Indie hackers, solo founders, and small development teams (1–5 people) who are already using AI coding assistants seriously and are managing more than one project at a time. They want the output of a full development team without the headcount, and they are frustrated that agentic workflows still require constant manual supervision.

Brand Voice

Direct, builder-friendly, and action-oriented — speaks to serious developers without enterprise jargon, confident in the value it delivers

Core Values

Ship faster, Reduce context-switching, Agent-powered autonomy, Local-first, Multi-project by design, Builder respect

Go-to-market Strategy

Distributed as a downloadable desktop app (macOS and Windows) with self-serve sign-up and a 7-day free trial. Pricing scales on analytics event volume with monthly and annual Pro tiers. Growth is targeted at AI-early-adopter communities — indie hackers, solo founders, and small teams already using Claude Code or Codex — through developer-facing channels and word of mouth.

# Aiola — Product & Marketing Brief

## What this app is

Aiola is a desktop app that gives indie developers, founders, and small teams a single control center for building and shipping multiple software projects with AI agents. It sits on top of AI coding assistants (like Claude Code and Codex) and turns their raw capability into tracked tasks, scheduled automation runs, auto-created pull requests, and shipped features — all visible across every project at once.

Think of it as the operations layer between your AI coding tools and your actual products. It is not a code editor, not a chat client, not a project management tool in isolation, and not a monitoring dashboard in isolation. It is all of those things working together, purpose-built for the solo developer or small team running multiple projects simultaneously.

---

## The problem it solves

Developers who use AI coding tools today still spend enormous amounts of time context-switching. Errors appear in one tab, user feedback lands in another, open PRs sit in a third, analytics in a fourth. Every project has its own dashboard, its own alert, its own mental overhead. Keeping tabs on six projects at once means six browser windows, six notification streams, and zero time to actually build.

On top of that, AI coding assistants — as powerful as they are — operate on a single repo in a single session. There is no way to say "keep an eye on errors across all my projects and auto-fix anything critical while I sleep." There is no automation layer. Work is still manual: you notice a bug, you open a thread, you ask the agent to fix it, you shepherd the PR. Multiply that by eight projects and the workflow breaks down.

Aiola closes that gap. It watches everything, surfaces what needs attention, and lets agents act on it — automatically or on demand — without forcing the developer to become a full-time project manager.

---

## Target users

**Indie hackers** who are running multiple side projects in parallel and want the productivity of a full development team without the headcount.

**Solo founders** who are building SaaS products with AI assistance and need to stay on top of errors, user feedback, and shipping cadence across their portfolio.

**Small development teams** (2–5 people) who want a shared view of what agents are doing, what tasks are in flight, and what is ready to ship — without paying for a stack of separate SaaS tools.

**Agencies** that manage multiple client codebases and need project-level isolation combined with portfolio-level visibility.

The common thread: people who are already using AI coding tools seriously, have more than one project in flight, and are frustrated that "agentic" still requires constant manual supervision.

---

## Core features

- **Multi-workspace dashboard** — Every repository is its own workspace with isolated chat threads, tasks, automations, settings, and knowledge. A central command view aggregates read-only data across all workspaces so nothing falls through the cracks.

- **AI chat & named agents** — A full conversational interface backed by configurable AI agents. Agents can be given names, icons, custom instructions, skills, and memory. Pre-built templates include Code Reviewer, QA Agent, Security Agent, Research Agent, and more.

- **Task board** — A Kanban-style board (also viewable as a list) for tracking work from backlog through to shipped. Tasks carry priority, labels, assignees, due dates, estimated time, subtasks, attachments, and a full timeline. Tasks can be linked to each other and broken out of a planning document automatically.

- **Auto-PR pipeline** — Move a task to the "Create PR" state and the agent handles everything: it creates a branch, commits the work, pushes, and opens a pull request with an auto-generated description. Each task runs in an isolated Git worktree so branches never collide.

- **Automations** — Scheduled agentic jobs that run on a cron-style schedule or on demand. Automations can reference files, agents, tasks, error logs, feedback, and open issues in their prompts — enabling fully hands-off workflows like nightly error sweeps or weekly changelog generation.

- **App logs & error triage** — Real-time error grouping with stack traces, breadcrumbs, and full context. Agents can analyze root cause or jump straight into a fix thread. Errors stream live via WebSocket and roll up across all workspaces in the central view.

- **User feedback hub** — Captures user-submitted bug reports and feature requests. Each item can be triaged, prioritized, and converted into a task with one action. Custom field definitions allow per-project configuration. Rolls up across workspaces centrally.

- **GitHub integration** — View open issues and pull requests, trigger AI code review on incoming PRs, or kick off an AI-powered fix flow directly from a PR. Optionally auto-posts a summary comment back to GitHub after review.

- **Analytics dashboard** — Per-project web analytics (visitors, pageviews, revenue, funnels, heatmaps, retention, user journeys, UTM attribution, geo breakdowns, real-time visitor globe). Supports custom date ranges, segment filters, and rolls up across projects in the central view.

- **Plan editor** — A rich-text planning document (nested blocks, headings, checklists, toggles, callouts) where ideas can be drafted and then broken out into tasks on the board.

- **Calendar** — A daily time-grid view showing scheduled tasks and automation runs side by side, timezone-aware, so the developer can see the full shape of a day's planned work.

- **Terminals** — Integrated terminal sessions tied to each workspace. Every command stays in context with the project it belongs to.

- **Settings & integrations** — Per-workspace configuration for API keys, GitHub auth, analytics connection, error tracking, MCP (Model Context Protocol) servers, environment variables, global agent instructions, and usage/billing.

- **Desktop-native experience** — Auto-updates, custom appearance controls (sidebar transparency, color themes, border radius), and native window behavior. No browser tab required.

Per-thread and per-model cost breakdowns

Inspect token counts and financial costs broken down per thread and per model across every workspace.

Explore

Aiola

Monitor

Tools

Recents

Project Knowledge Base

App Name

App Email (Contact)

Production URL

Core Purpose & Goal

Aiola gives developers and small teams a single desktop command center for building and shipping multiple software projects with AI agents. It replaces a fragmented stack of project, error, feedback, and analytics tools with one unified workspace that lets agents act on all of it automatically.

Target Customers

Indie hackers, solo founders, and small development teams (1–5 people) who are already using AI coding assistants seriously and are managing more than one project at a time. They want the output of a full development team without the headcount, and they are frustrated that agentic workflows still require constant manual supervision.

Brand Voice

Direct, builder-friendly, and action-oriented — speaks to serious developers without enterprise jargon, confident in the value it delivers

Core Values

Ship faster, Reduce context-switching, Agent-powered autonomy, Local-first, Multi-project by design, Builder respect

Go-to-market Strategy

Distributed as a downloadable desktop app (macOS and Windows) with self-serve sign-up and a 7-day free trial. Pricing scales on analytics event volume with monthly and annual Pro tiers. Growth is targeted at AI-early-adopter communities — indie hackers, solo founders, and small teams already using Claude Code or Codex — through developer-facing channels and word of mouth.

# Aiola — Product & Marketing Brief

## What this app is

Aiola is a desktop app that gives indie developers, founders, and small teams a single control center for building and shipping multiple software projects with AI agents. It sits on top of AI coding assistants (like Claude Code and Codex) and turns their raw capability into tracked tasks, scheduled automation runs, auto-created pull requests, and shipped features — all visible across every project at once.

Think of it as the operations layer between your AI coding tools and your actual products. It is not a code editor, not a chat client, not a project management tool in isolation, and not a monitoring dashboard in isolation. It is all of those things working together, purpose-built for the solo developer or small team running multiple projects simultaneously.

---

## The problem it solves

Developers who use AI coding tools today still spend enormous amounts of time context-switching. Errors appear in one tab, user feedback lands in another, open PRs sit in a third, analytics in a fourth. Every project has its own dashboard, its own alert, its own mental overhead. Keeping tabs on six projects at once means six browser windows, six notification streams, and zero time to actually build.

On top of that, AI coding assistants — as powerful as they are — operate on a single repo in a single session. There is no way to say "keep an eye on errors across all my projects and auto-fix anything critical while I sleep." There is no automation layer. Work is still manual: you notice a bug, you open a thread, you ask the agent to fix it, you shepherd the PR. Multiply that by eight projects and the workflow breaks down.

Aiola closes that gap. It watches everything, surfaces what needs attention, and lets agents act on it — automatically or on demand — without forcing the developer to become a full-time project manager.

---

## Target users

**Indie hackers** who are running multiple side projects in parallel and want the productivity of a full development team without the headcount.

**Solo founders** who are building SaaS products with AI assistance and need to stay on top of errors, user feedback, and shipping cadence across their portfolio.

**Small development teams** (2–5 people) who want a shared view of what agents are doing, what tasks are in flight, and what is ready to ship — without paying for a stack of separate SaaS tools.

**Agencies** that manage multiple client codebases and need project-level isolation combined with portfolio-level visibility.

The common thread: people who are already using AI coding tools seriously, have more than one project in flight, and are frustrated that "agentic" still requires constant manual supervision.

---

## Core features

- **Multi-workspace dashboard** — Every repository is its own workspace with isolated chat threads, tasks, automations, settings, and knowledge. A central command view aggregates read-only data across all workspaces so nothing falls through the cracks.

- **AI chat & named agents** — A full conversational interface backed by configurable AI agents. Agents can be given names, icons, custom instructions, skills, and memory. Pre-built templates include Code Reviewer, QA Agent, Security Agent, Research Agent, and more.

- **Task board** — A Kanban-style board (also viewable as a list) for tracking work from backlog through to shipped. Tasks carry priority, labels, assignees, due dates, estimated time, subtasks, attachments, and a full timeline. Tasks can be linked to each other and broken out of a planning document automatically.

- **Auto-PR pipeline** — Move a task to the "Create PR" state and the agent handles everything: it creates a branch, commits the work, pushes, and opens a pull request with an auto-generated description. Each task runs in an isolated Git worktree so branches never collide.

- **Automations** — Scheduled agentic jobs that run on a cron-style schedule or on demand. Automations can reference files, agents, tasks, error logs, feedback, and open issues in their prompts — enabling fully hands-off workflows like nightly error sweeps or weekly changelog generation.

- **App logs & error triage** — Real-time error grouping with stack traces, breadcrumbs, and full context. Agents can analyze root cause or jump straight into a fix thread. Errors stream live via WebSocket and roll up across all workspaces in the central view.

- **User feedback hub** — Captures user-submitted bug reports and feature requests. Each item can be triaged, prioritized, and converted into a task with one action. Custom field definitions allow per-project configuration. Rolls up across workspaces centrally.

- **GitHub integration** — View open issues and pull requests, trigger AI code review on incoming PRs, or kick off an AI-powered fix flow directly from a PR. Optionally auto-posts a summary comment back to GitHub after review.

- **Analytics dashboard** — Per-project web analytics (visitors, pageviews, revenue, funnels, heatmaps, retention, user journeys, UTM attribution, geo breakdowns, real-time visitor globe). Supports custom date ranges, segment filters, and rolls up across projects in the central view.

- **Plan editor** — A rich-text planning document (nested blocks, headings, checklists, toggles, callouts) where ideas can be drafted and then broken out into tasks on the board.

- **Calendar** — A daily time-grid view showing scheduled tasks and automation runs side by side, timezone-aware, so the developer can see the full shape of a day's planned work.

- **Terminals** — Integrated terminal sessions tied to each workspace. Every command stays in context with the project it belongs to.

- **Settings & integrations** — Per-workspace configuration for API keys, GitHub auth, analytics connection, error tracking, MCP (Model Context Protocol) servers, environment variables, global agent instructions, and usage/billing.

- **Desktop-native experience** — Auto-updates, custom appearance controls (sidebar transparency, color themes, border radius), and native window behavior. No browser tab required.

Search engine integrations

Connect Google Search Console and Bing Webmaster tools to monitor search queries, clicks, impressions, position, and indexing issues.

Explore

Aiola

Monitor

Tools

Recents

Project Knowledge Base

App Name

App Email (Contact)

Production URL

Core Purpose & Goal

Aiola gives developers and small teams a single desktop command center for building and shipping multiple software projects with AI agents. It replaces a fragmented stack of project, error, feedback, and analytics tools with one unified workspace that lets agents act on all of it automatically.

Target Customers

Indie hackers, solo founders, and small development teams (1–5 people) who are already using AI coding assistants seriously and are managing more than one project at a time. They want the output of a full development team without the headcount, and they are frustrated that agentic workflows still require constant manual supervision.

Brand Voice

Direct, builder-friendly, and action-oriented — speaks to serious developers without enterprise jargon, confident in the value it delivers

Core Values

Ship faster, Reduce context-switching, Agent-powered autonomy, Local-first, Multi-project by design, Builder respect

Go-to-market Strategy

Distributed as a downloadable desktop app (macOS and Windows) with self-serve sign-up and a 7-day free trial. Pricing scales on analytics event volume with monthly and annual Pro tiers. Growth is targeted at AI-early-adopter communities — indie hackers, solo founders, and small teams already using Claude Code or Codex — through developer-facing channels and word of mouth.

# Aiola — Product & Marketing Brief

## What this app is

Aiola is a desktop app that gives indie developers, founders, and small teams a single control center for building and shipping multiple software projects with AI agents. It sits on top of AI coding assistants (like Claude Code and Codex) and turns their raw capability into tracked tasks, scheduled automation runs, auto-created pull requests, and shipped features — all visible across every project at once.

Think of it as the operations layer between your AI coding tools and your actual products. It is not a code editor, not a chat client, not a project management tool in isolation, and not a monitoring dashboard in isolation. It is all of those things working together, purpose-built for the solo developer or small team running multiple projects simultaneously.

---

## The problem it solves

Developers who use AI coding tools today still spend enormous amounts of time context-switching. Errors appear in one tab, user feedback lands in another, open PRs sit in a third, analytics in a fourth. Every project has its own dashboard, its own alert, its own mental overhead. Keeping tabs on six projects at once means six browser windows, six notification streams, and zero time to actually build.

On top of that, AI coding assistants — as powerful as they are — operate on a single repo in a single session. There is no way to say "keep an eye on errors across all my projects and auto-fix anything critical while I sleep." There is no automation layer. Work is still manual: you notice a bug, you open a thread, you ask the agent to fix it, you shepherd the PR. Multiply that by eight projects and the workflow breaks down.

Aiola closes that gap. It watches everything, surfaces what needs attention, and lets agents act on it — automatically or on demand — without forcing the developer to become a full-time project manager.

---

## Target users

**Indie hackers** who are running multiple side projects in parallel and want the productivity of a full development team without the headcount.

**Solo founders** who are building SaaS products with AI assistance and need to stay on top of errors, user feedback, and shipping cadence across their portfolio.

**Small development teams** (2–5 people) who want a shared view of what agents are doing, what tasks are in flight, and what is ready to ship — without paying for a stack of separate SaaS tools.

**Agencies** that manage multiple client codebases and need project-level isolation combined with portfolio-level visibility.

The common thread: people who are already using AI coding tools seriously, have more than one project in flight, and are frustrated that "agentic" still requires constant manual supervision.

---

## Core features

- **Multi-workspace dashboard** — Every repository is its own workspace with isolated chat threads, tasks, automations, settings, and knowledge. A central command view aggregates read-only data across all workspaces so nothing falls through the cracks.

- **AI chat & named agents** — A full conversational interface backed by configurable AI agents. Agents can be given names, icons, custom instructions, skills, and memory. Pre-built templates include Code Reviewer, QA Agent, Security Agent, Research Agent, and more.

- **Task board** — A Kanban-style board (also viewable as a list) for tracking work from backlog through to shipped. Tasks carry priority, labels, assignees, due dates, estimated time, subtasks, attachments, and a full timeline. Tasks can be linked to each other and broken out of a planning document automatically.

- **Auto-PR pipeline** — Move a task to the "Create PR" state and the agent handles everything: it creates a branch, commits the work, pushes, and opens a pull request with an auto-generated description. Each task runs in an isolated Git worktree so branches never collide.

- **Automations** — Scheduled agentic jobs that run on a cron-style schedule or on demand. Automations can reference files, agents, tasks, error logs, feedback, and open issues in their prompts — enabling fully hands-off workflows like nightly error sweeps or weekly changelog generation.

- **App logs & error triage** — Real-time error grouping with stack traces, breadcrumbs, and full context. Agents can analyze root cause or jump straight into a fix thread. Errors stream live via WebSocket and roll up across all workspaces in the central view.

- **User feedback hub** — Captures user-submitted bug reports and feature requests. Each item can be triaged, prioritized, and converted into a task with one action. Custom field definitions allow per-project configuration. Rolls up across workspaces centrally.

- **GitHub integration** — View open issues and pull requests, trigger AI code review on incoming PRs, or kick off an AI-powered fix flow directly from a PR. Optionally auto-posts a summary comment back to GitHub after review.

- **Analytics dashboard** — Per-project web analytics (visitors, pageviews, revenue, funnels, heatmaps, retention, user journeys, UTM attribution, geo breakdowns, real-time visitor globe). Supports custom date ranges, segment filters, and rolls up across projects in the central view.

- **Plan editor** — A rich-text planning document (nested blocks, headings, checklists, toggles, callouts) where ideas can be drafted and then broken out into tasks on the board.

- **Calendar** — A daily time-grid view showing scheduled tasks and automation runs side by side, timezone-aware, so the developer can see the full shape of a day's planned work.

- **Terminals** — Integrated terminal sessions tied to each workspace. Every command stays in context with the project it belongs to.

- **Settings & integrations** — Per-workspace configuration for API keys, GitHub auth, analytics connection, error tracking, MCP (Model Context Protocol) servers, environment variables, global agent instructions, and usage/billing.

- **Desktop-native experience** — Auto-updates, custom appearance controls (sidebar transparency, color themes, border radius), and native window behavior. No browser tab required.

Revenue overlay and ingestion keys

Overlay multi-currency Stripe revenue directly onto your analytics and manage project API keys for log, feedback, and telemetry ingestion.

Explore

// Works with

Your agents, one workspace. Use the subscriptions you already have.

Claude Code

Codex

Cursor

Grok CLI

OpenCode

Aiola supports five agent CLIs: Claude Code, Codex, Cursor, Grok CLI (including grok-4.5), and OpenCode.

// FAQ

Questions, answered. Everything to know about Usage & limits.

Which providers support live quota tracking?

Aiola provides live quota tracking for Claude Code, Codex, Cursor, Grok CLI, and OpenCode, displaying rate limits, reset times, and token usage bars.

Can I inspect token and cost usage by workspace?

Yes. You can review per-thread and per-model token consumption and financial cost breakdowns for each workspace.

What search engine integrations are included?

Google Search Console and Bing Webmaster integrations track queries, clicks, impressions, average position, and indexing issues.

How do Stripe and ingestion keys fit into Usage?

Stripe integration overlays revenue directly onto analytics with multi-currency conversion, while project API keys manage log, feedback, and analytics ingestion.

// Related surfaces

Explore what connects next. Keep the work moving across Aiola.

Analytics in AiolaExplore Threads in AiolaExplore App logs in AiolaExplore

Download Aiola for MacOSWindows

One desktop app for Claude Code, Codex, Cursor, Grok CLI, and OpenCode. Free download, bring your own subscriptions.

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