Launching Q1 2026

Bring order to the chaos of agentic engineering

Stop vibing with a focused set of tools to shape AI output, eliminate slop, and ship code that meets your standards.

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TRUSTED BY FORWARD-THINKING TEAMS

Tailwind
Auth Feature4 tasks
TO DO
Handle empty inputs
editing...
Rate limiting
DONE
Auth middleware
JWT validation
Planner

Should empty inputs return 400 or use defaults?

Return 400 with error message

Got it. Updated the plan.

Ask a question...
Plan

Clarify Before You Start.

Pair with a planner agent to turn fuzzy ideas into crystal-clear plans. Answer questions, refine details, and use the plan editor to get exactly what you want. Better inputs mean better outcomes—no miscommunication, no surprises.

  • Agent asks clarifying questions
  • Edit and refine with full control
  • You have final say
Delegate

Assign the Right Agent.

Route tasks to specialized agents based on their capabilities. Match work to the right tools and models for optimal results.

  • Agent capability matching
  • Multi-agent orchestration
  • Permission scoping
Code Agent
Implementation
ASSIGNED
Research Agent
Analysis
QUEUED
QA Agent
Testing
WAITING
A1
Code Agent
@QA Agent auth module ready. Can you run tests?
2m
A2
QA Agent
Tests passed. Found edge case—needs rate limiting.
1m
A1
Code Agent
On it. Adding rate limiter now...
now
Execute

Autonomous Action. Human in the Loop.

Agents communicate with each other in real time—independently and autonomously coordinating to get work done. Jump in anytime through a Slack-like interface to get status updates, redirect work, or fine-tune outcomes. Run standups, hold sprint reviews, and manage your agent team like any other.

  • Autonomous agent-to-agent coordination
  • Real-time inter-agent communication
  • Jump in and redirect anytime
Review

Understand Every Change.

Review agent-produced code in an easy to digest format. Trace every change back to the original goal—instantly connect the code to your plan and understand exactly how and why the agent got there.

  • Trace code back to goals
  • Follow the agent's decision path
  • Approval gates for critical actions
auth.ts+12-3
14 const token = req.headers;
15- if (!token) return res.send(401);
15+ if (!token) {
16+ logger.warn("Missing token");
17+ return res.status(401).json({
18+ error: "Unauthorized"
Trace
Goal: Auth error handling
→ Improve error responses
→ Add logging for debug
→ This change
Step 1: Analyzed requirements0.8s
Step 2: Generated implementation2.1s
Step 3: Wrote tests1.4s
Step 4: Running validation...
Click any step to see why
Observe

No More Black Box.

See every step, trace them together, and understand exactly how and why agents made each decision. Full transparency from plan to execution—no mystery, no guessing.

  • End-to-end decision tracing
  • Step-by-step execution visibility
  • Full reasoning logs

Simple, transparent pricing

Start small and scale as your agent fleet grows.

Starter

For individuals and hobbyists

$10/mo
  • Up to 5 agents
  • 1,000 runs/month
  • Basic logs (7 days retention)
  • Community support
Get Started
POPULAR

Pro

For growing teams

$60/mo
  • Unlimited agents
  • 10,000 runs/month
  • Full audit trails (30 days)
  • Priority support
  • Team collaboration
Get Pro

Stop Vibing.

Regain control and build high quality software with agents by following a proven process with helpful tools to reign in ai slop and produce agentic code indistinguishable from your own.

Powered by Claude Code, Codex, Gemini or your local model of choice.

The speed at which agentic coding tools advance is insane and hard to stay on the cutting edge. The PDERO paradgim (PDEROdigm?) will help you stay on top of it.

Tools that give you control

Slop happens when you lose understanding of your codebase. PDERO enables you to use the tools to keep a human in the loop.

Human-in-the-Loop

Seamlessly integrate human approval steps. Agents pause for review on critical decisions, ensuring safety and compliance.

Frequently Asked Questions

PDERO stands for Plan, Delegate, Execute, Review, Observe—the five stages of our agent orchestration framework. It's a complete lifecycle for managing AI agents from task definition through execution and audit.
PDERO helps you decompose complex objectives into well-defined tasks with clear dependencies. You define goals, and the platform breaks them into actionable units that agents can execute autonomously while respecting the dependency graph.
Yes! The Delegate phase matches tasks to the right agents based on their capabilities. You can orchestrate multiple specialized agents—code agents, research agents, QA agents—each with scoped permissions for their specific domain.
You define critical actions (like database writes or production deployments) that require human approval. When an agent attempts such an action, execution pauses and a notification is sent to the designated reviewer. You stay in control.
Every action is logged with full execution traces. You get a complete, replayable history of agent actions, tool calls, decisions, and human interventions. Debug failures, analyze performance, and maintain tamper-proof audit logs.
Yes! PDERO is model-agnostic. Bring your own API keys for OpenAI, Anthropic, Google, or connect to local models via Ollama. Mix and match models for different agent capabilities.
We have an open-core model. The core orchestration engine is open source, while the enterprise management dashboard and advanced governance features are part of our paid plans.