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Read 600 articles about AI, ads, and digital systems. Pick 1 of 8 reader groups, then open the example that fits your business.
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Jev writes no text. It answers typed questions and returns choices, scores, and confidence. We pointed it at our own Agentic CRM: 227 sessions, 1,100 decisions, 20.8 seconds, 0.0094 USD. Here is how to wire it, and what it found.
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We opened the Meta Ad Library page of Alex Hormozi on 19 September 2026, then walked every destination page. The result: 4 message angles, 5 offer rungs, and 1 layer that is never advertised. This article gives 7 steps to check it yourself.
Eight decision points you can hand to a decision model: a chat turn guard, lead triage, a claim guard, intent routing, ad review, article quality, search re-ranking, and an agent step guard.
A Rp350,000 daily budget may become Rp612,500 on 1 day and Rp2,450,000 in 1 week. This article explains the Meta rules, shows 1 week of data from our own account, and gives 7 steps to check and cap the spend.
Jev returns typed decisions, a generative LLM returns text. Here is the difference in output, cost, and how code reads them, plus 6 questions that tell you which tool you need.
OpenAI introduced Sponsored Agents, prompt-based campaign management, AI creative tools, and HubSpot and Shopify integrations. This is an operational checklist for Indonesian teams.
Jev bills input tokens only, at 0.042 USD per 1M, and output tokens are free. Here is the 3 line formula, the real figures from our audit of 227 conversations, and 4 ways to cut the bill.
Jev is an AI model from TypeSafe that generates no text. It answers typed questions and returns choices, scores, probabilities, and confidence that your code can read directly.
A meat proxy forwards AI output without checking it. Learn the term’s history, inspect an order-report example, and use a checklist before sending an answer.
Hermes Agent 0.21.3 was released on September 14, 2026, to fix remote-session failures during refresh bursts and duplicate state.db writer handles. Here is the impact, scope, and safe upgrade plan.
An AI agent finishes the feature in 1 day. This article gives a 6-day plan to break that feature on purpose: dead dependencies, corrupt data, expired tokens, then a game day. It includes a multi-agent Claude Code workflow and data from DORA, METR, and Stack Overflow 2025.
Many founders call "subscription" their business model. It is a revenue model, 1 of 9 canvas blocks. This article separates the two, compares 8 revenue model types, prices 1 dummy product 3 ways, and gives 5 steps to choose.
A 10–15 slide deck for a 15–20 minute pitch, and a 7-folder data room ready before the term sheet. These 7 steps use the YC slide order, a bottom-up market size, an 18–24 month use of funds, and the YC data room checklist. The 6-week schedule uses dummy data.
EMQ is Meta's 0-to-10 score for matching server events to Meta accounts. This guide reads the score in Events Manager, explains what a higher score gives you, and shows 5 ways to raise it with screenshots.
A hands-on tutorial with screenshots: install Konektor tracking on a WhatsApp landing page, connect Qontak, match the visitor code [K-XXXXX], build rules, and send CAPI feedback to Meta automatically.
Hermes Agent is an open-source AI agent from Nous Research that runs on your own server. This article covers what it does, what the models cost, where its security stops, and a 4-step test before your team decides to install it.
7 real ways to use Hermes Agent in a business: a morning briefing, ticket triage, a team assistant in chat, an ads report, server monitoring, reading legacy systems through MCP, and content drafts. Each example names the trigger, tools, output, and limit.
A comparison of Hermes Agent and OpenClaw from their own official pages: maker, license, cost, runtime, WhatsApp, security defaults, governance, and migration. With 5 decision steps and a 1-week test.
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