AI-native · agents are the product
Planoda is an AI-native work platform where agents are first-class teammates — one tool that replaces Linear, ClickUp, Monday, and Trello. It ships 20+ first-party tools, a propose/approve broker for destructive actions, an MCP server any agent can drive, semantic search over issues and code, skill distillation, and a per-workspace AI budget you control. 100x better. 100x more features. 100% AI-powered.
A request becomes a tracked issue.
It moves across the board, in flow.
Cycles and initiatives stay in sync.
Velocity and health update live.
The AI-native platform, in short
One loop, one teammate
A request becomes a tracked issue.
It moves across the board, in flow.
Cycles and initiatives stay in sync.
Velocity and health update live.
Why AI-native wins
Linear, ClickUp, Monday, and Trello bolted agents on as an afterthought. Planoda is AI-native: agents act through the exact procedures and row-level security boundaries your team uses. No privileged side door — one access surface, one audit log, for people and models alike.
The MCP tools/call path enforces it: sessions lacking destructive capability receive a structured 'approval required' result instead of a write. Nothing irreversible happens without a human in the loop, and the approval is on the record.
Every workspace has an AI budget gate. Skill distillation, triage, and agent runs preflight against it and record spend after, so AI cost is bounded and visible per workspace — never an open-ended surprise on the invoice.
Watch it work
Approve or reject the proposal yourself and watch the audit log and credit ledger respond. This is the governance loop every action runs through — not a settings page, a live broker.
Bring your own agents
Linear lets you bring Claude Code, Codex, Cursor, and Copilot as teammates. So does Planoda — but every external agent inherits the same propose/approve broker, immutable audit trail, and metered ledger as your in-product agents. The human stays the primary assignee; the agent is a contributor. Honestly labeled: a first-party MCP server is live today, full external-agent orchestration is on the way.
Drives the workspace from your terminal — reads issues, opens sub-tasks, links PRs, leaves comments.
Picks up a scoped issue, proposes the change set, and reports back against the same ticket.
Pulls context from linked issues and code, then files its work as a proposal on your board.
Connects the PR to the issue and keeps status, reviewers, and the audit row in sync.
Anything that speaks the 2025-11-25 streamable HTTP transport operates the workspace as a teammate.
An outside agent connects — and inherits your governance, instantly.
What's inside
100x more features — and every one is real and shipped, not a wishlist. Each runs on the same tRPC procedures and Drizzle schema as the rest of the product.
A single tool registry is the source of truth: search, create, update, assign, transition, link, and bulk ops — plus suggest assignee, suggest next state, and run insight metrics. The agent does real work on your board, not canned chat. Each tool carries a `destructive` flag the runtime enforces, so there's no second copy of the rules to drift.
Delete, bulkArchive, bulkUpdate and every other destructive tool must go through propose/approve. Sessions without destructive capability get a structured 'approval required' result; approved ops record an agent.proposal.* audit row. Transparent agent governance, on the record.
Incoming work gets classified and triaged with suggested priority, labels, team routing, and duplicates; threads get AI summaries; the agent drafts sub-issues and scaffolds whole boards — all surfaced as suggestions a human accepts, never silent writes.
HNSW vector embeddings span issues and code, powering conversational RAG, 'find the thing I half-remember' retrieval, and duplicate detection — grounding the agent in your actual workspace, scoped by RLS.
A first-party Model Context Protocol server speaks the 2025-11-25 streamable HTTP transport. Operate the workspace from Claude Code, Cursor, ChatGPT, or any MCP client — guardrailed by the same broker, auth, RLS, and audit log as the in-product surfaces.
Turn a finished agent session into a reusable, workspace-scoped skill: the transcript distills into a structured { name, description, systemPrompt, allowedTools }, clamped to tools that actually exist in the registry, then persisted through the same audited create path.
Triage, semantic search, suggestions, drafting, and skill distillation all run against a per-workspace AI budget you set. A preflight gate checks the budget before spending and a ledger records actual spend after, so AI is a power tool with a meter — not the opaque credit math ClickUp and Monday make you decode. Predictable, transparent cost; transcripts scrubbed and treated as data, never as instructions.
FAQ
The honest answers to what teams ask before they make an agent a teammate on a real workspace.
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AI-native platform · Pro
100x better. 100x more features. 100% AI-powered. The agent system, MCP access, semantic search, and skill distillation — on the Pro plan, with a 14-day trial and no gateway key required.