Drift vs Hatz AI
Side-by-side trajectory, velocity, and editorial themes.
Drift has effectively dissolved into Salesloft's monthly release rhythm.
The product no longer ships under the Drift name. The changelog is a monthly link to Salesloft's release notes, with the May 2026 drop the only one carrying actual content — Agent Tasks metrics for AI Data, Channels & Conversations updates, and Rhythm/Cadence workflow tweaks. Nothing on the page is positioned as a Drift-specific feature anymore.
What was once a category-defining conversational marketing tool is now a feature surface inside the broader Salesloft revenue platform. Expect the Drift brand to keep fading; product investment lives in Salesloft's combined cadence and is increasingly framed as 'Agents' and 'AI Data' — a sales-engagement framing rather than a marketing-website chat one.
The next directional move is the eventual retirement of any standalone Drift surfacing in Salesloft's UI. Conversational features will be re-pitched as part of the Agent platform, with the historical Drift chat capabilities subsumed into a generalized buyer-engagement layer.
Hatz AI is building the AI workspace for MSPs — per-message model routing, tenant tooling, custom MCP.
Hatz AI is shipping at a high cadence across three connected themes. First, model routing: Auto-LLM picks the right model per message based on task and tools, then layered into Lite, Performance, and Turbo tiers; the catalog keeps adding models (Opus 4.7, Gemini 3.5 Flash, Gemini 3.1 Flash Lite, Gemma 4) with per-model credit multipliers surfaced in the UI. Second, MSP control plane: bulk tenant creation via CSV, custom roles with credit limits, workshop access controls, and embedded support chat in the admin dashboard. Third, surface expansion: audio uploads with auto-transcription, image generation in workflows, file output attaching to chats, 60+ supported file types, speech-to-text in chat, and a steady cadence of integrations and custom MCP server improvements.
The product is taking shape as a multi-tenant AI workspace tuned for MSPs and partner-led delivery — the tenant CSV, credit limits, and workshop sharing are unusual for a generalist AI tool and tell you who buys this. Auto-LLM and tiered routing make sense in that context: an MSP needs cost control across many tenants without micromanaging model picks. Custom MCP and the broad integration cadence position Hatz as a tools-aggregator over multiple LLMs rather than a model wrapper.
Expect more MSP-centric controls — per-tenant budgets, white-label theming, billing reconciliation — and Auto-LLM to grow visible routing telemetry so MSP admins can see why a given model was picked. The custom MCP surface is likely to evolve toward a marketplace pattern with shareable MCP packages across tenants.
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