Grain vs Slack
Side-by-side trajectory, velocity, and editorial themes.
Grain ships MCP and one-click Claude/ChatGPT export — meeting data goes agent-native.
Grain just shipped an MCP server alongside bulk AI actions and a one-click 'open in Claude/ChatGPT' button on every meeting page. Transcripts are now Markdown-formatted and pull in company, participant, prior-meeting context, and private notes — explicitly shaped for AI consumption rather than human reading. Earlier in the quarter Grain landed a live in-meeting notepad/transcript surface and a unified home page replacing the split library/calendar.
Grain is repositioning from 'meeting recorder with summaries' to 'meeting data source for your AI tools.' MCP and the AI-export buttons turn the product from a destination into a feeder for whatever LLM-based workflows customers already run. The earlier UX consolidation (one home page, live notepad) made the product more usable; the May release reframes who it's for.
Expect more MCP surface coverage (search, action items, clip extraction) and likely an MCP-first onboarding flow for AI-tool users. Pricing or packaging tied to MCP/API-heavy usage is plausible, given the bulk-AI-actions cap concern that always follows agent integrations.
Slack rebuilds its developer platform around shipping in-channel AI agents.
Slack is well into a platform pivot, restructuring its CLI, Block Kit, and APIs around AI agent use cases. The 4.0.0 release in April formalized this with an agent-scaffolding command, sample agent apps, and a live-reloading dev workflow. Recent additions — streaming chat APIs, Card/Carousel/Alert blocks, and continued MCP server expansion — show the surface area for in-Slack agents widening fast.
The platform is shifting from 'agents can post messages' to 'agents are first-class UI citizens'. The new chat.startStream / chat.appendStream / chat.stopStream methods change what an agent reply looks like, and the Card and Carousel blocks hint at richer multi-turn agent flows. Security work on PKCE and optional scopes is keeping pace, which tells you third-party agent developers are the audience, not just first-party features.
Expect Slack to publish reference agents and likely a discovery or marketplace surface for agent apps within the next minor cycle, with streaming Block Kit becoming the canonical pattern shown in the docs.
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