Slack vs Subsplash
Side-by-side trajectory, velocity, and editorial themes.
Slack is quietly rebuilding itself as a runtime for third-party agents.
Slack's developer platform has shifted its center of gravity from bots-that-reply to agents-that-act. The last month is dominated by agent primitives: apps can now receive the context a user is looking at, Slackbot can call external tools over MCP, and a dedicated agent messaging surface ships alongside steady CLI and Block Kit work.
Each release fills in a piece of an agent platform — context in, tools out, and a native place for agents to converse. Block Kit is gaining richer primitives (containers, data visualization) that read as the display layer for agent output. Three CLI releases in a month show the tooling keeping pace with the expanding surface.
Expect the next moves to connect these pieces: agent context feeding MCP tool calls, and Block Kit's new blocks becoming the standard way agents render results in-channel.
Subsplash bets on plain-language AI over its ministry data while steadily building out Events
Subsplash is developing two arcs in parallel. The AI layer — Trends AI — is maturing fast: it now ingests media and campaign data alongside giving, people, and attendance, and the People Assistant lets staff query the congregation in plain language instead of building filters by hand. The second arc is Events and registration tooling: dashboard-based guest registration, a dedicated Events Manager role, and payment-waiver handling.
The directional bet is natural-language access to ministry data. Trends AI started as a chart-and-dashboard product; the People Assistant moves it toward 'describe what you want' querying, and expanding its data sources makes that assistant progressively more useful. The Events work is solid but conventional — closing workflow gaps for church admins. The AI investment is what a competitor would react to.
Expect natural-language and AI-assist surfaces to spread from People and Trends into giving and workflows, and Trends AI to keep absorbing data sources so a single assistant can answer across the whole platform.
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