Red Sift vs WorkOS

Webinar recap: Building up to BIMI with Mailgun and Red Sift

Missed our BIMI webinar with Mailgun? Here's how SPF, DKIM, and DMARC enforcement lead to BIMI, what certificates cost, and how BIMI Maker helps.

Introducing Red Sift BIMI Maker, a first-of-its-kind mark certificate tool

Red Sift BIMI Maker takes your logo from an image file to a filed BIMI certificate application, streamlined through either a Verified Mark Certificate (VMC) or Common Mark Certificate (CMC).

Red Sift Launches BIMI Maker for Email Logos

Red Sift has launched BIMI Maker, a free AI-powered self-service tool that enables brands to get their logos displayed in email inboxes via BIMI (Brand Indicators for Message Identification). The tool guides users through preparing logos, checking email authentication, and applying for Verified Mark Certificates (VMC) or Common Mark Certificates (CMC). It aims to remove barriers like trademark and design requirements that have prevented adoption. Currently, about 50,000 domains publish BIMI records, but only 6,500 have certificates for logo display. Red Sift claims BIMI can increase email open rates by 39%.

• Red Sift launched BIMI Maker, a free AI-powered self-service tool for BIMI certificate preparation.
• The tool assists with logo conversion, authentication checks, and certificate application (VMC or CMC).
• About 50,000 domains publish BIMI records, but only 6,500 have certificates for displaying logos.

How Two XAI Designers Use Grok Bot for Their Jobs

In this episode of the 'How I AI' podcast, host Claire Vo interviews John Bai and Peng Zheng, designers on the Grok Bot team at SpaceX AI (xAI), about their use of AI agents in daily workflows. Peng demonstrates a check-in pipeline where he sends photos or location names to a custom Grok Bot, which uses Google Places API and image generation to create 3D miniature visuals for his personal website, automating publishing. John shows how he uses Grok Bot with Figma MCP to edit designs, create marketing materials from templates, and generate interactive prototypes from voice commands. They discuss how AI reduces tedious work, enables creative exploration, and shifts designers toward higher-level decisions, emphasizing configuring bots with clear, narrow responsibilities for tasks like email triage and calendar management. The episode is sponsored by WorkOS and Vanta.

• John Bai and Peng Zheng are designers on the Grok Bot team at SpaceX AI (xAI) and appear on the 'How I AI' podcast.
• Peng Zheng built a self-updating personal website with a check-in pipeline using Grok Bot and Google Places API to generate 3D miniature visuals and automate publishing.
• John Bai uses Grok Bot with Figma MCP to edit designs, create marketing materials, and generate interactive prototypes from voice commands.

Grok Bot Built in a Month by Small Team

Roman Ugarte, who led Growth at Cursor, details how he and a small team built Grok Bot for SpaceXAI from scratch in four weeks, then launched it publicly three weeks later. The article covers key decisions, such as building independently rather than integrating with Cursor, and the team's manual onboarding of nearly 300 initial users. Early product choices and a 'colleague-pilled' philosophy contributed to the bot's success. Roman also discusses moats and Cursor's competitive strategy.

• Grok Bot was built from scratch in four weeks by a small team at SpaceXAI.
• Roman Ugarte previously led Growth at Cursor, scaling it from 15 to over 1,000 employees before acquisition by SpaceX.
• The team manually onboarded nearly 300 of the first users.

Build an AI Code-Review Agent in 30 Minutes

A Lenny’s How I AI episode showcases two use cases for modern LLM-powered agents: Claire demonstrates building 'Merge Mommy', an AI GitHub agent that reviews pull requests, scores their risk across six dimensions, auto-approves low-risk PRs, and routes questionable ones to Slack — all built in a single Codex session and deployed with Vercel Eve. Grace Clarke describes using Claude Code to run three reusable business skills (pipeline, proposal builder, voice guide), replacing Gmail with a Claude-powered inbox and emphasizing intent engineering, skill files, and habitual use over perfect prompts. The piece highlights practical operational controls (risk thresholds, audit logs, SOC 2 alignment) and argues that infrastructure like Vercel Eve reduces setup friction for internal agents.

• Claire built an AI agent that reviews pull requests, scores risk, auto-approves the safest ones, and sends questionable PRs to Slack.
• Intercom reported that PRs approved by its AI system move five times faster than human-reviewed PRs and have a lower revert rate (as cited in the episode).
• The described risk model scores PRs across six dimensions (change size, blast radius, reversibility, data/security implications, operational impact, tests/CI); <24 points is low-risk (auto-cleared) and >64 points goes to humans.