Pazi

The current product organizes work around Businesses. Each business contains Business Pulse, opportunities, tasks/calendar, a shared inbox, memory, credentials and team access. Agents have their own model selection, instructions, skills, private memory, workspace and integrations. A protected primary operating officer coordinates the business while additional specialists can execute longer work.

Pazi supports durable background runs and multi-agent delegation rather than requiring a live chat turn to stay open. Results, files and runtime state persist. Slack and business email are explicit supported work surfaces, and Pazi documents a broader chat-channel strategy. The platform also supports connected Codex subscriptions: Codex-selected runs use the user's connected ChatGPT/Codex quota instead of Pazi credits, while Claude-based work consumes Pazi credits.

Pazi is built on the open-source OpenClaw runtime but sells a managed operational layer around it. That is an important product-surface distinction: buyers are paying for hosted infrastructure, business context, channels, permissions and managed agent execution rather than the underlying runtime alone.

The current pricing page shows Pro at $25/month for 12,500 monthly credits, with multiple businesses, team invites and private-business support. Annual billing advertises a 20% saving. Pazi's own comparison posts and older July launch material reference earlier $20/$50/$200 tiers, so current first-party pricing takes precedence over those rapidly stale snapshots.

Terms effective August 21, 2026 state that paid plans renew automatically, credits are non-transferable internal service units and consumed credits are generally non-refundable. Model, tool, agent and advertising usage can draw from the same balance. That makes workload design important: multi-agent execution can create variable consumption even when the subscription price itself is public.

Independent evidence is limited. Product Hunt documents a 2026 launch, Y Combinator affiliation and strong launch ranking, but launch popularity is not evidence of long-term task quality. Toolworthy's current review describes Pazi as a good fit for coordinated business operations while warning that credits can be hard to forecast and broad goals still need human review.

Capterra created a current Pazi AI product profile and verified provider data on August 26, 2026, but it currently has no user reviews. Its 0.0 display therefore represents missing review evidence, not a zero-quality rating, and is not a substantive quantitative product signal.

The reviewed source set similarly finds almost no substantive independent current product evidence beyond the new Capterra profile. This leaves confidence below mature SaaS products even though first-party documentation is unusually detailed.

Trust and autonomy deserve attention because Pazi can act beyond text generation. The current Terms expressly cover AI and automated actions, connected services and Pazi-funded advertising. For advertising, the business owner can authorize Pazi to publish, fund, modify, pause and manage campaigns using Pazi-controlled ad accounts and payment methods. That is powerful, but it means permissions and human approval boundaries are operational controls, not optional polish.

Pazi is best for founders and small teams that want persistent AI coworkers for recurring operational functions rather than single-turn assistance. It is especially relevant when work spans research, development, QA, reporting, communications and follow-up over days rather than minutes.

It is less suitable for teams that require a large independent review base, predictable fixed-cost automation or proven enterprise assurance before allowing agents to take consequential external actions.