Canonical: https://www.brettsanders.com/projects/j5-agent-fleet
Author: [Brett Sanders](https://www.brettsanders.com/)
Published: 2026-06-13

System Case Study June 13, 2026

# J5 Agent Fleet

A production AI orchestration platform at j5agentfleet.com with 95 specialized agents across 15 divisions, Goal Mode iterative loops, local browser/computer automation, durable runtime telemetry, Slack agent sessions, multi-agent Meetings, token and cost governance, two-way Linear integration, native iOS/macOS/Apple TV/Electron apps, and local or managed-cloud execution through Claude Code, Copilot CLI, Codex, Antigravity, Kiro, LM Studio, and API models.

[Visit Live Product](https://j5agentfleet.com/)

AI Agents Next.js TypeScript React Multi-Agent Systems Postgres Neon Postgres Drizzle ORM SSE React Flow

# J5 Agent Fleet

**J5 Agent Fleet** is a production AI orchestration platform for operating a structured team of **95 specialized agents across 15 divisions**. It ships as a Next.js web app, native iOS, macOS, and Apple TV apps, and an Electron desktop app, backed by local and cloud execution paths: a local service runner for user-controlled machines, and managed cloud workers for isolated remote execution.

**Live at:** [j5agentfleet.com](https://j5agentfleet.com/)

## The Agent Fleet: 15 Divisions

| Division           | Agents | Role                                                                                            |
| ------------------ | ------ | ----------------------------------------------------------------------------------------------- |
| Engineering        | 20     | Frontend, backend, DevOps, cloud, mobile, AI engineering, security, performance, infrastructure |
| Marketing          | 13     | Content, SEO, social media, growth, Reddit, TikTok, Instagram, ASO, competitive intel           |
| Support            | 9      | Legal/compliance, finance, infrastructure, analytics, executive summaries                       |
| Design             | 9      | UX architecture, UI design, brand, accessibility, visual storytelling, image prompting          |
| Project Management | 5      | Studio producers, project shepherds, senior PMs, operations                                     |
| Testing            | 7      | API testing, performance benchmarking, reality checking, evidence collection                    |
| Specialized        | 8      | Orchestrator, PDF creation, data consolidation, onboarding expert, scientific research          |
| Product            | 4      | Feedback synthesis, sprint prioritization, trend research                                       |
| Operations         | 2      | Coordination and operational automation                                                         |
| Data               | 1      | Data consolidation and analysis                                                                 |
| Finance            | 1      | Financial analysis and reporting                                                                |
| Human Resources    | 1      | HR workflows and documentation                                                                  |
| Legal              | 1      | Legal review and compliance                                                                     |
| Sales              | 1      | Sales extraction and outreach                                                                   |
| Strategy           | 13     | Strategic planning and executive decision support                                               |

Each agent is a Markdown persona file defining role, decision framework, tone, and areas of expertise. The platform separates *who* does work from *how* it gets executed.

## Deployment Targets

|                  | Local                       | Cloud                           |
| ---------------- | --------------------------- | ------------------------------- |
| **Database**     | Postgres (local server)     | Neon Postgres (serverless)      |
| **ORM**          | Drizzle ORM                 | Drizzle ORM                     |
| **Auth**         | Local dev mode              | Clerk (multi-tenant)            |
| **Worker**       | Local service runner daemon | Managed cloud workers (Fly.dev) |
| **File storage** | Local filesystem            | Vercel Blob                     |
| **Task queue**   | DB polling every 5s         | Upstash QStash                  |
| **Deployment**   | localhost:3001              | Vercel                          |
| **Billing**      | —                           | Stripe                          |

Local originally ran on SQLite. That second dialect meant a second execution path, and a security fix eventually had to land in three places to cover them all — so it was retired in favour of a local Postgres server. One dialect end to end: the same migrations, types, and query behaviour everywhere.

## Key Features

- **Task lifecycle** — queue, rerun, stop, archive, bookmark; scheduling; repo-scoped task creation
- **Goal Mode** — iterative task loops that keep running until a stated end condition, time cap, budget cap, approval gate, blocker, or human question stops the loop
- **Project orchestration** — AI-driven decomposition into features → user stories → tasks with dependencies; Gantt-style timeline grouped by feature or agent
- **Consultation-gated execution** — orchestrator spawns advisor subtasks; implementation waits for consultant input before proceeding
- **Local automation** — browser actions, authenticated browser profiles, macOS computer control, and screenshots; opt-in from the Controls UI with one-click Chromium provisioning
- **Approval gates** — human checkpoint gates before high-risk execution continues
- **Durable runtime** — `execution_events` ledger + `execution_signals` layer for every task, project, research run, workflow, approval, and Goal Mode loop; stuck-work dashboard and runbook-guided recovery
- **Kanban board** — auto-synced drag-and-drop: `backlog → ready → in_progress → review → needs_attention → done`
- **Task hierarchy graph** — React Flow visualization of orchestrator/primary/collaborator execution trees with status overlays
- **Community agents** — browse, hire, share, and report agents across the platform
- **Research Lab** — recurring structured research topics on a schedule with AI-authored reports
- **Idea Board** — color-coded capture and organization of ideas
- **Workflow intelligence** — dynamic workflow draft generation from a goal; model-tier routing so generated workflows pick the best execution lane
- **Slack channel** — DM and mention handling, thread-scoped agent sessions, named agent routing, slash-command help, and Slack approval cards
- **Meetings** — multi-agent rooms with per-seat model, runner, and Composio tools, shared seeded context, round-robin or moderated turns, streaming transcript, evaluator/time/budget end conditions, and Add-to-Task/Project outcomes
- **Communication Center** — inbound email mailbox (read/unread/trash/reply), outbound campaigns, AI-generated templates
- **Integrations** — Composio tool connections, GitHub, GitLab, Slack, Telegram, and two-way Linear issue and agent-session integration
- **Agent Fleet workspace** — employee directory, community hire/fire, per-agent chat with persona-backed responses
- **Reports** — period-based narrative reports (today/week/month) with optional PDF export via `pdf-lib`
- **Token and cost governance** — token-level tracking beside dollar spend, subscription token caps, model efficiency tables, missing-telemetry warnings, burn-rate sparklines, anomaly alerts, and UsageBadge surfaces
- **Real-time SSE** — every state change pushes to the browser; Postgres `LISTEN/NOTIFY` fanout for multi-instance Vercel
- **Wiki** — searchable in-app documentation with synthesized section indexes

## Multi-CLI Worker Dispatch

The worker routes each task to the configured execution target:

- `claude-code` / `claude-code-fable-5` — Anthropic's agentic coding CLI (including Claude Fable 5)
- `copilot` — GitHub Copilot CLI (agent mode)
- `codex` — OpenAI Codex CLI
- `antigravity` — Google's Antigravity CLI
- `kiro` — Kiro CLI (subscription-based, no API key)
- `lmstudio-qwen` — fully offline execution via LM Studio
- `gpt-5.4` / `bedrock-claude-fable-5` — API models for structured tasks

Model is a per-task routing decision. The orchestrator assigns it automatically based on task type and complexity.

## Native Clients

- **iOS app** — full task management, agent fleet, project detail, and Goal Mode controls; TestFlight CI via self-hosted GitHub Actions runner
- **macOS app** — SwiftUI native app connecting to the local `j5af-service` daemon on port 7242
- **Apple TV app** — read-only Mission Control wall display; pairs over the OAuth 2.0 device authorization grant (RFC 8628) because tvOS has no web view, and receives a read-only credential limited to monitoring endpoints
- **Electron app** — cross-platform desktop (macOS, Windows, Linux) with the full web UI packaged for offline/local use

## Tech Stack

Next.js 16 · React 19 · TypeScript · Tailwind CSS v4 · Zustand · Zod · Drizzle ORM · Radix UI · React Flow (`@xyflow/react`) · Postgres (local) · Neon Postgres (cloud) · Clerk · Stripe · Upstash QStash · Vercel Blob · Svix · Resend · Composio · Slack · Playwright · `pdf-lib` · `react-markdown` · Bun · Docker · Fly.dev · SwiftUI (iOS/macOS) · Electron

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