Above the agent layer
ZecruAI coordinates supported agents and providers instead of asking you to bet the AI coding workflow on one assistant.
Provider-neutral command center for AI coding agents
Run AI coding agents as one software team.
Keep using Claude Code, Codex, and compatible providers. ZecruAI turns them into a multi-agent coding workflow for AI software development: missions, assigned owners, progress reports, diffs, tests, builds, and browser checks you can review.
Download ZecruAI free
- Free desktop download for Windows and macOS
- Connect Claude Code, Codex, or a compatible provider
- Open a local project and create a mission
- You stay in control of review and acceptance
If live lookup is unavailable, both buttons open the latest-release page.
Mission control
Mission
Ship a signup fix: one request becomes assigned agent work, changed files, checks run, review evidence, and a clear decision to accept or reopen.
Assigned coder
One agent owns the implementation so progress, blockers, and edits stay tied to the mission.
Evidence
Review diffs, terminal output, tests, browser checks, and acceptance criteria before you ship.
agent bus
planner -> coder: implement the mission
coder -> planner: changed App.tsx, gate passed
Mission loop
From prompt to reviewable ship path.
ZecruAI sits above the coding agents and providers you already use. Planning, assignment, evidence, and review reduce hallucination risk instead of trusting confident model output alone.
1
Create mission
Scope the outcome, constraints, and acceptance criteria.
2
Assign agent
Give the best-fit agent or model ownership of the work.
3
Build and report
The agent edits, runs checks, and reports what changed.
4
Review and ship
Inspect diffs, tests, builds, and browser evidence first.
The core pain
One AI chat is not an agentic coding workflow.
An AI code editor or AI IDE can help write code, but it usually does not give you a durable workflow for assigning agents, verifying changes, and deciding what to accept. ZecruAI adds mission structure, agent assignment, and reviewable evidence so the work stays owned and inspectable.
The model loses the goal inside a long chat thread.
It claims a fix works without tests, builds, or browser proof.
Parallel agents collide when nobody owns the mission.
Useful decisions vanish into scrollback instead of mission history.
SaaS proof point
Built with ZecruAI: SpineFrame
SpineFrame is a shipped AI-powered chiropractic practice-management SaaS. It shows how developers can build SaaS apps with AI coding agents when the work is organized through many ZecruAI missions instead of one long, unreviewable chat: plan the work, assign the right agent, inspect changed files, run checks, then accept or reopen.
From mission workflow to product surface
The screenshots pair ZecruAI mission structure with SpineFrame product screens for patient operations, scheduling flow, and clinical workspace management.
See SpineFrame live
Today’s Patients dashboard and check-in/check-out flow
Patient records, insurance, alerts, documents, and visit history
Scheduling and appointment organization
SOAP notes and Rose AI Scribe
Packages, checkout, ledger, and reporting workflows
Doctor and front-desk workflows
AI IDE vs command center
An AI editor gives you an assistant. ZecruAI gives you control.
Keep using the models and coding tools you already trust. ZecruAI adds the missing layer above an AI code editor or AI IDE: missions, assignment, isolated project work, and evidence you can review before accepting changes.
Multi-agent ownership
Assign the best-fit agent or model for UI, tests, review, or implementation so parallel work stays accountable.
Evidence before acceptance
Review diffs, tests, builds, browser checks, and mission history. Reduces hallucination risk through process, not guarantees.
How missions flow
Create, assign, build, review.
Planner and coder separation is accountability, not magic autonomy. You stay in control of review and acceptance while agents do the implementation work.
Start your first mission1
Create the mission
Write the outcome, constraints, and acceptance criteria so the agent has a finish line.
2
Assign ownership
Give the best-fit agent or model the job instead of broadcasting vague work to everyone.
3
Agent builds and reports
The agent inspects the repo, edits code, runs commands, and keeps progress visible.
4
Review evidence and ship
Check diffs, tests, builds, browser results, and mission history, then close or reopen.
ZecruAI workflow
See missions, reports, and review states in one workspace.
ZecruAI keeps agentic coding work visible as structured missions instead of hiding it in one long chat. Track foundation context, active work, completed reports, assigned coders, and reopen decisions from the same desktop workspace.
These current proof screenshots focus on the mission system itself: how work is structured, reported, reviewed, closed, or reopened.
Why it exists
Built for agent work you can inspect before accepting.
ZecruAI reduces hallucination risk by forcing agent work through planning, evidence, and review. The point is not blind trust. The point is making the model show its work.
Mission-based work
Turn broad prompts into scoped software missions with goals, constraints, acceptance criteria, and a reviewable finish line.
Assigned agents
Put one software engineering agent on UI, another on tests, or a planner on review so parallel AI work stays owned instead of duplicated.
Evidence-first reports
Ask agents to report what changed and back it with tests, builds, browser checks, diffs, or terminal output.
Reviewable history
Keep mission summaries, project decisions, changed files, and reopen paths out of endless chat scroll.
Provider-aware control
Connect Claude Code, Codex, or a compatible provider while ZecruAI coordinates the workflow around them.
Local-first workspace
Work from your desktop project folders with visible files, terminal output, browser state, git history, and agent reports.
Plans and providers
Use the right model for each job without betting on only one.
ZecruAI Cloud is for coordination, relay, history, mobile command-center access, and review workflows. ZecruAI coordinates the agents; model usage remains tied to the supported CLIs and API providers you choose unless a plan explicitly says otherwise.
Desktop workspace
Launch local agents, inspect progress, and review software changes from one place.
Your provider
Connect the model subscription, coding CLI, or compatible API account you prefer.
Cloud command center
Use relay, restart, activity, history, needs-review, and plan approvals when you are away.
Local-first desktop control
Download ZecruAI free and run your first mission.
Install the desktop app, connect Claude Code, Codex, or a compatible provider, open a local project, and review agent evidence before you accept changes. Questions? Email mikedemchak135@gmail.com.
- Free desktop download for Windows and macOS
- Connect Claude Code, Codex, or a compatible provider
- Open a local project and create a mission
- You stay in control of review and acceptance