Founder - building managed company brains @ singlebrain, ad agency @singlegrain, Investor. Member: @YPO Beverly Hills Podcaster: Marketing School, Leveling Up

Jev took my library of short-form formats and helped me choose what to make next. I can pick an idea and see a visual reference plus what to borrow from the format. That saves me from sorting through examples and figuring out the angle from scratch. If you’re trying this, set your criteria first: what makes an idea a good fit for your audience? Then review what Jev suggests. More marketing use cases in the article below ↓
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Here’s how I’d use Grokbot and Jev to turn sales calls into article briefs. 1. Grokbot retrieves the passage, speaker, and timestamp. 2. Jev classifies the signal, such as a numeric result or customer pain. 3. A person checks the number, context, and qualification. 4. Approved evidence moves into the article brief. Unclear passages return to source review. Rejected passages still get sampled so a strong story doesn’t disappear under “nothing.” The writer starts with a verified excerpt, its source, and a reason to investigate it. Read the full article:
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ericosiu retweeted
Your AI agent can now work with ALL of your business data. With just a single key. SingleBrain Gateway connects the business accounts you already use to your AI agent. Connect your accounts once, give your agent one key, and ask whenever you have a question. “How’s our search traffic doing?” “Which accounts have gone quiet?” “What should we write about next?” No gathering reports and pasting them into a chat every time. Your agent goes to the connected data for the answer. Get connected: singlebrain.com/gateway
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You recorded an hour-long podcast. Which two minutes should become a post? Jev could help surface candidate moments so your editor has a shortlist to review. The dashboard here uses dummy data, but the workflow is clear: shortlist → watch the moment → check the payoff → cut for the platform. I break it down in the article below ↓
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SingleBrain Gateway is INSANE. We gave it one question: “What should we write about next?” In just 4 calls, the agent checked search volume, assessed keyword difficulty, looked at page-one results, and wrote a memo recommending what to write first. All for just $0.16. Gateway also connects your agent to Google Analytics, Search Console, HubSpot, Slack, and Stripe. Available now in Claude, Cursor, and Codex. Connect your accounts, give your agent one key, and ask. singlebrain.com/gateway
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How Jev Turns Dashboard Data Into Decisions I can see which hooks get engagement, where new users get stuck, and which search topics are tied to deals. The harder part is deciding what to work on next. With the right data connected, Jev can classify those signals so I can spot a content pattern to repeat, a product issue to investigate, or a topic worth creating more content around. That’s the workflow I’d test: dashboard data → classification → a decision someone can act on.
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Use Jev to scan all the people you bookmark on IG to scrape all their hooks, offers, creatives using Meta Muse. Use Jev to scan all the people who follow you on IG - founders, investors, influencers, recruits. Hell, even use it for people you want to date. Use Jev to scan your external content to determine the best content spikes, then draft the best, then have Jev evaluate content quality, enforce content guidelines, and avoid duplicate content. QualitynAEO/SEO at scale. Use Jev to scan all your customer calls for case studies, objections, churn risks, etc. Use Jev to scan all inbound and outbound recruits, run them through your talent evals to shortlist people at lightning fast speed. What did I miss?
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I'd test the Jev work in Meta Muse against our past content decisions before trusting it with new ones. 1. Gather previously reviewed ideas. 2. Keep the original briefs and decisions. 3. Set aside a group you won't use to shape the questions. 4. Have the agent judge that group. 5. Inspect disagreements with your reviewer. I'd use this to choose ideas worth developing. Matching past decisions doesn't predict audience results. Read the article:
Jev for AI agents: a high score is not proof that the work is good. Here’s how I’m using Jev across content, recruiting and video editing—and where the checks still need human judgment.
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Jev for AI Agents: Catch Bad Calls Before You Act

An AI agent can give its own work a great score and still leave you with the wrong answer. Near the end of my Jev walkthrough, the scores for our content briefs clustered near the top. The agent had

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Jev for Work: Give Your AI Agents a Definition of Done Before asking an agent to do more, tell it what done means. Define the criteria, identify missing evidence and keep a review step. Jev supplies a judgment; your workflow controls what happens next.
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ericosiu retweeted
If you give Jev a 60-minute video, it still needs to know what a good clip looks like. Is the hook strong? Does the thought finish? Is the clip the right length? The same goes for SEO and AEO. Have you covered the topic already? Is the new angle meaningfully better? Now I don’t have to review every minute or every topic from scratch. Jev narrows the options, and I decide what moves forward. Here's the full workflow 👇
Jev for Marketing: generating more ideas is easy. Choosing which ones deserve a draft is the harder part. Here are 5 ways I’m exploring Jev for content, SEO and lead qualification—with real examples, prompts and the limits of these early tests.
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Jev for Marketing: 5 Ways to Choose Better Content and Leads

Our AI could suggest more articles. Jev gave us a way to ask whether those ideas deserved another draft. In an early test, the workflow flagged topics already covered on our site and gave us reasons

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Put Jev in your workflow to classify content ideas faster. Feed it your proposed topics and a list of published articles. It can flag ideas that may already be covered, so you can review those matches before starting another draft. I walk through the Jev for Marketing workflow in the article below ↓
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Make your agent explain why a content idea is weak before asking it to rewrite. In Grok Bot, I'd keep these checks separate: 1. Check overlapping ideas against published coverage. 2. Find evidence for thin claims or narrow them. 3. Look for a real recording or example when firsthand material is weak. 4. Ask for the smallest repair. 5. Review the changed passage alongside its evidence and updated judgment. A better label doesn't tell us the article will rank. Read what changed. Read the article:
Jev for AI agents: a high score is not proof that the work is good. Here’s how I’m using Jev across content, recruiting and video editing—and where the checks still need human judgment.
Article

Jev for AI Agents: Catch Bad Calls Before You Act

An AI agent can give its own work a great score and still leave you with the wrong answer. Near the end of my Jev walkthrough, the scores for our content briefs clustered near the top. The agent had

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ericosiu retweeted
How we’d build an AI-native marketing team from scratch | Eric Siu & Cody Schneider nitter.net/i/broadcasts/1rGmqpnqo…
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Jev for Marketing: Find Clips That Deliver a Complete Point A punchy line is not a complete clip. Check whether the thought finishes, the viewer has enough context and the proof survives the cut. Here is how I am testing Jev for clip selection.
Jev for Marketing: generating more ideas is easy. Choosing which ones deserve a draft is the harder part. Here are 5 ways I’m exploring Jev for content, SEO and lead qualification—with real examples, prompts and the limits of these early tests.
Article

Jev for Marketing: 5 Ways to Choose Better Content and Leads

Our AI could suggest more articles. Jev gave us a way to ask whether those ideas deserved another draft. In an early test, the workflow flagged topics already covered on our site and gave us reasons

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AI is a leverage bazooka, that is a bad thing for most people. Why? Leverage is simply an amplifier. Leverage on a bad investment makes it a bigger bad investment. Leverage on a good investment makes it a bigger good investment. Now apply leverage to intelligence. If you’re curious and adaptable, you’re 100x more curious and adaptable. That’s great because you were already thriving. Now you’ll thrive more. If you’re lazy and stagnant, you’ll suffer more. Here’s the problem today: if you don’t use AI, the curious and adaptable will run circles around you faster than before. If you do use it and you’re lazy, AI will put a spotlight on you. There’s no coasting or hiding - all is revealed. Most people become ‘most people’ because they stop growing. The good news is the solution is simple: if you’re insatiably curious and you have a strong relationship with change, the world is yours. If you’re not, start changing.
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Tons of sauce in this one from @codyschneider He ranks #1 for a keyword in 38 minutes during the stream He shows his method for pushing 11k ads per month He talks about his signal based LinkedIn dm strategy. Drop what you’re doing and watch.
How we’d build an AI-native marketing team from scratch | Eric Siu & Cody Schneider nitter.net/i/broadcasts/1rGmqpnqo…
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Every queue in a Jev workflow needs a useful next step. Inbox → support review Recruiting → recruiter follow-up Sponsorships → draft clarification Jev classifies the text. Your agent prepares the handoff, and connected tools handle the next task. Unclear evidence stays in human review. Read the full workflow:
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