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Comparison · Support

Social Intents vs Hatz AI

Side-by-side trajectory, velocity, and editorial themes.

S5.0

Social Intents' crawled feed is SEO blog content, not product releases

◆ Current state

The feed captured here is Social Intents' marketing blog, not a product changelog. Every recent entry is search-optimized editorial on live chat, AI chatbots, and customer support — best-practice roundups, template lists, and benchmark posts. No product releases or version notes are visible in this feed.

◆ Where it's heading

Publishing cadence is steady at roughly one post per week, and the topic mix leans hard into AI chatbot use cases (helpdesk deflection, hallucination risk, ticket reduction). That reflects where the company is aiming its content marketing, not what it is shipping. Product direction cannot be inferred from these entries.

◆ Prediction

Expect more of the same AI-support-themed blog posts on this feed; without a real changelog source, no product move can be predicted from what's crawled here.

H
Hatz AI
SUPPORT
6.3

Hatz turns its MSP AI platform into an agent-composition and phone-automation system.

◆ Current state

Hatz AI is an MSP-oriented AI workspace: a governed model selector plus agents, workflows, integrations, and AI phone agents, sold through managed-service-provider tenancy. Recent releases push hard on two fronts: making phone agents a real front-line call system (routing, warm transfer, caller memory, business hours, post-call workflows) and making agents composable inside workflows. Model breadth keeps expanding, with Sonnet 5 and seven new LLMs added to the selector.

◆ Where it's heading

The direction is from a chat-with-models tool toward an automation platform where saved agents are reusable building blocks and phone agents replace human triage. Governance is a throughline: role-based model, integration, and tool controls, tenant templates, and usage budgets all deepen the MSP multi-tenant control plane. Model selection is increasingly abstracted behind Auto-LLM.

◆ Prediction

Expect further phone-agent autonomy and more agent-as-step composition across workflows, with continued MSP governance controls and ongoing additions to the model roster.

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