Sleekplan
Sleekplan rebuilt itself around AI triage, then put the feedback board inside ChatGPT.
A side-by-side editorial comparison of Hatz AI and Plain — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Hatz AI | Plain |
|---|---|---|
| Sector | Support | Support |
| Velocity score | 6.3 | 8.8 |
| Sparks · 30d | 1 | 3 |
| Top themes | msp-channel, phone-agents, model-selector, multi-tenant-admin | customer-support, ai-agents, mcp, agent-governance |
| Last editorial update | 4d ago | 12h ago |
| Website | — | Visit → |
Hatz sells through MSPs, and its roadmap has started to serve the partner more than the end user
Most of Hatz's window is model-selector maintenance — Claude Opus 5, Kimi K3, GLM 5.2 Fast, DeepSeek V4 Flash, the Gemini 3.x line — plus a steady buildout of the phone agent, which has gained pausing, duplication, reassignment, drafts, silence tolerance, business hours, and caller memory. Against that routine, Hatz Activate stands apart: a rollout console built for the managed service providers who resell the platform.
Plain built an autonomous support agent, and has now built the controls to trust it.
Plain's changelog is dated entries with no titles, and nearly all of it concerns two AI surfaces: Ari, the customer-facing responder, and Sidekick, the internal agent. Sidekick spent July gaining reach — its own full-page home, reusable workspace skills, and connection to arbitrary MCP servers. The newest release turns to Ari and adds what was missing around it: a way to test it before customers see it, provenance behind each answer, configurable tone, and explicit escalation rules.
Most of Hatz's window is model-selector maintenance — Claude Opus 5, Kimi K3, GLM 5.2 Fast, DeepSeek V4 Flash, the Gemini 3.x line — plus a steady buildout of the phone agent, which has gained pausing, duplication, reassignment, drafts, silence tolerance, business hours, and caller memory. Against that routine, Hatz Activate stands apart: a rollout console built for the managed service providers who resell the platform.
Two arcs run in parallel. The phone agent is being hardened into a product an MSP can deploy repeatedly across client sites — duplicate it onto a new number, reassign it to a different tenant, cap its minutes — while Activate supplies the partner with the shadow-AI scan and enablement material that starts the sales conversation. Model additions continue but carry no direction; they are table stakes restated every few weeks.
Expect more tenant- and partner-scoped administration, since renaming tenants and invoicing over the API both landed this window and point at MSPs managing many clients programmatically. The phone agent's usage-based pricing suggests metering and limits will keep expanding ahead of any new end-user capability.
Plain's changelog is dated entries with no titles, and nearly all of it concerns two AI surfaces: Ari, the customer-facing responder, and Sidekick, the internal agent. Sidekick spent July gaining reach — its own full-page home, reusable workspace skills, and connection to arbitrary MCP servers. The newest release turns to Ari and adds what was missing around it: a way to test it before customers see it, provenance behind each answer, configurable tone, and explicit escalation rules.
The sequence reads as capability first, then governance. Plain rebuilt Ari into an agentic first responder, opened Sidekick to any MCP server, and let teams write skills the whole workspace shares — all of which widen what the agents can do and reach. The current release closes the loop the other way, making that autonomy inspectable and bounded before it is switched on. That is the order support-AI vendors have to complete in: teams will not put an agent in front of customers on capability claims alone.
With testing and provenance in place, the next step is likely measurement — resolution and escalation rates per skill, or per-answer quality review feeding back into the skills teams write. The entries are short summaries linking off-site, so per-release depth is limited.
Other Support products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Hatz AI or Plain.
Sleekplan rebuilt itself around AI triage, then put the feedback board inside ChatGPT.
Comm100 publishes steadily about AI support — none of it is Comm100 shipping anything.
respond.io is layering an agent-authoring copilot and consumption billing on top of its omnichannel inbox.
A teaser-only content feed making one argument: AI in the contact center fails on knowledge, not models.
A steady SEO blog on SMS basics, with the occasional ecommerce integration walkthrough.
Twilio is retiring its old serverless runtime while pushing consent and deliverability control into APIs.
See all Hatz AI alternatives → · See all Plain alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Plain is currently shipping more aggressively (velocity 8.8 vs 6.3), with 3 editorial sparks in the last 30 days against 1. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Plain is currently shipping more aggressively (velocity 8.8 vs 6.3), with 3 editorial sparks in the last 30 days against 1. For your specific use case, the alternatives sections above list other Support products to evaluate alongside.
Top Hatz AI alternatives in Support are ranked by recent ship velocity. Browse the "Hatz AI alternatives" section above for the current picks, or visit /alternatives/hatz-ai for the full list with editorial commentary on each.
Top Plain alternatives in Support are ranked by recent ship velocity. Browse the "Plain alternatives" section above for the current picks, or visit /alternatives/plain for the full list with editorial commentary on each.