Pazi

Overview

Pazi is an AI operations workspace for founders and small teams that want to turn a business idea into an organized set of agent-assisted tasks. Instead of starting with a blank workflow canvas, users describe what they want to build or improve, and Pazi helps assemble a team of AI agents around that goal.

The product launched on Product Hunt as "Vibe code business operations," but the practical use case is broader than coding. Pazi is closer to an AI agent workspace for planning, research, coordination, and operational execution. It can help teams break a business goal into workstreams, keep specialized agents available, and move from an idea to a more structured operating plan.

Pazi is most useful when the problem is not a single prompt but an ongoing business workflow: validating an idea, planning a launch, organizing customer research, coordinating marketing tasks, or managing repeated operational requests.

Key Features

• Idea-to-agent setup - Describe a business objective and let Pazi build an agent-backed structure around it, rather than manually creating every role and task from scratch.
• Specialized agent teams - Create multiple agents for different parts of the business, such as planning, research, operations, or go-to-market work.
• Business workspace model - Paid tiers scale by the number of businesses, making Pazi more useful for founders, operators, and agencies managing more than one project.
• Credit-based usage - Plans include monthly credits for agent work, so buyers can estimate whether the product fits their expected workload.
• Team collaboration - Higher tiers add invited members, which makes Pazi more practical for small teams rather than only solo founders.
• Slack handoff on Pro - The Pro plan lists the ability to transfer agents to Slack, which can move agent work closer to daily team communication.

Teams comparing Pazi with a broader AI workflow generator should treat it as a business operating layer first, not a generic integration builder.

How to Get Started

Start with one specific business objective, such as validating a new product idea, planning a sales motion, preparing a launch checklist, or organizing market research. Pazi is more likely to be useful when the input includes context, constraints, and a desired outcome.

After Pazi creates an initial operating structure, review the suggested agents and workstreams before relying on them. For higher-stakes decisions, keep a human approval step for financial, legal, hiring, or customer-facing actions. This is the same evaluation discipline teams should apply to any AI productivity tool that turns broad instructions into business tasks.

If your main need is market validation, pair Pazi with independent research sources or a dedicated AI market research workflow so the agents are not operating only from high-level assumptions.

Pricing & Plans

Pazi publishes a free tier and three paid monthly plans. The pricing page uses credits as the usage unit, so teams should evaluate both the subscription price and the expected credit burn for agent work.

The free tier is enough to test the workflow model. Starter fits a single active business, Advanced fits a small team or several projects, and Pro is the practical tier for teams that want Slack-connected agent work or frequent usage.

Best For

• Founders turning rough ideas into structured operating plans
• Small teams that want an agent workspace for research, planning, and execution support
• Agencies or operators managing multiple business experiments
• Teams that want a practical agent-team layer before investing in custom automation
• Buyers comparing business-agent tools with broader AI business automation platforms

FAQ