Chert

About Chert

Chert is a platform for building and deploying AI-driven conversational agents that text customers via iMessage. It provides a dashboard to configure system prompts and tone, connect workflows, and integrate conversation histories with popular CRMs.

Review

Chert aims to simplify adding iMessage as a customer channel by offering an agent builder, delivery monitoring, and CRM integrations. The product is a recent launch and targets teams that want higher-engagement conversational touchpoints without building iMessage infrastructure from scratch.

Key Features

• Agent builder for creating conversational iMessage agents with configurable system prompts and tone.
• Line health checks and message-state tracking to monitor delivery and response behavior.
• Integrations with CRMs and tools such as HubSpot, Close, Salesforce, Slack and others.
• APIs and webhook support for syncing conversation histories and automating workflows.
• Scalable pricing and multi-line support for teams planning to send hundreds of lines and thousands of messages.

Pricing and Value

Chert offers a free agent builder so teams can try the developer flow without a credit card. Pricing is structured to scale with usage-supporting multiple lines and higher message volumes-which can make it cost-effective for teams converting high-intent consumer contacts. For organizations with existing SMS/RCS flows, Chert is positioned as a complementary channel that can improve conversational engagement while integrating into an existing stack.

Pros

• Native iMessage interactions can yield higher engagement and feel more conversational for end users.
• Quick way to prototype and deploy agents via the dashboard with no initial payment required.
• Direct integrations with major CRMs and common tooling reduce integration work for teams.
• Operational features like line health checks and message-state visibility help with scaling outbound and inbound programs.

Cons

• iMessage lacks a public official API, so delivery and long-term durability depend on careful infra practices and monitoring.
• Scaling to very large volumes risks running into platform heuristics or rate limits from the transport layer, requiring active management.
• Currently focused on iMessage; multi-channel support (e.g., WhatsApp) is planned but not yet broadly available.

Chert is best suited for consumer-facing teams and growth teams that want to experiment with or add iMessage as a conversational channel alongside SMS/RCS. Small teams can validate use cases quickly with the free agent builder, while larger teams should plan for ongoing delivery monitoring and integration work to maintain scale and reliability.