Slack vs Twilio
Side-by-side trajectory, velocity, and editorial themes.
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.
Twilio reframes itself as the conversation layer for AI agents, not just a messaging API.
Twilio just shipped a coordinated batch of GA launches anchored on a new Conversations layer: Agent Connect SDK, Conversation Memory, Conversation Intelligence, Enterprise Knowledge, and Conversation Relay Insights all moved to GA on the same day. Alongside that, Apple Messages for Business is in private beta and a Bulk Messaging API is in public beta. The platform's center of gravity has clearly shifted from raw channel APIs to an AI-agent orchestration stack sitting on top of them.
Twilio is repositioning the company as the runtime where customer-facing AI agents live — owning memory, intelligence, channel reach, and observability, not just message delivery. The packaging is deliberate: each piece is shippable alone, but together they form an opinionated stack that competes head-on with Salesforce/Genesys agent platforms and with developer-first stacks like LiveKit. Expect Twilio to push hard on lock-in through Conversation Orchestrator as the binding layer.
Next likely moves: GA for Apple Messages for Business, and an expansion of the Agent Connect SDK toward third-party LLM and tool integrations to position it as the de-facto agent runtime on top of Twilio's channels. A Bulk Messaging GA and pricing for the AI features should follow within one to two quarters.
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