AI Automation Expert: Build an End-to-End LinkedIn + Blog Content Agent

Title: AI Automation Expert: Build an End-to-End LinkedIn + Blog Content Agent (Newsletter → Published Posts, Fully Automated) We are a UK-based Amazon account management agency serving 7-figure brands. We publish a weekly newsletter covering the most important Amazon news for sellers, and we want to repurpose that same source material into LinkedIn content and a searchable blog, without adding manual labour hours. We are looking for an experienced AI automation specialist to design and build a single AI agent workflow that takes our weekly news inputs and carries them all the way through to published, on-brand content across LinkedIn and a web blog, with a founder approval checkpoint before anything goes live. This is a build-once, replicate-after engagement. Once the first version is working, we will adjust and reuse it, so clean documentation and handover matter as much as the build itself. What we want built A connected AI agent workflow that handles the full pipeline: 1. Ingest. Pull our weekly source content (roughly 17 to 20 curated Amazon news items per week) from a defined input (we can supply via a structured source such as a Google Sheet, doc, or our newsletter export). 2. Generate LinkedIn content. AI agents produce high-quality, on-brand LinkedIn posts on a set cadence (to start: one anchor post plus two mid-week deep dives per week). Output must follow our brand voice and formatting rules, which we will supply. 3. Repurpose the overflow to a blog. The remaining items that do not make the LinkedIn cut are turned into short blog posts and published to an LLM-crawlable website (WordPress or similar). The goal is that the content is indexable by search engines and readable by AI/LLM crawlers, so this needs to be built with that retrievability in mind. 4. Approval gate. Nothing publishes automatically. The workflow routes drafts to a human (founder) approval step before anything goes live. We need this checkpoint to be simple and fast. 5. Schedule and publish. Once approved, the workflow auto-schedules and posts to LinkedIn (company page, with the option to extend to a personal profile later) and publishes the blog items. 6. Document and hand over. Clear documentation, a loom or written walkthrough, and a structure we can maintain, adjust, and replicate ourselves. Tech stack We are open on tooling and want you to recommend the best approach. We are evaluating options such as n8n, Make, Taskade, or a custom build using LLM APIs, so please propose what you would use and why, including how you would handle the LinkedIn posting, the CMS publishing, and the agent orchestration. You are a strong fit if you have - Proven experience building AI agent workflows that run end to end with minimal human input - Hands-on work with LinkedIn publishing automation (API or a reliable approved method) - Strong LLM prompting and brand-voice control, so output reads as human-written, not generic AI content - WordPress or CMS automation experience, ideally with SEO and LLM-crawlability in mind - API integration experience across the tools in your proposed stack Nice to have - Familiarity with content repurposing pipelines - Experience with approval/human-in-the-loop steps inside automated workflows - Any background with B2B or agency content To apply, please include 1. Two or three examples of similar AI automation or content workflows you have built (links, demos, or short descriptions) 2. Your proposed tech stack and a brief outline of how you would approach this 3. A fixed-price quote and a realistic timeline to deliver a working first version 4. Any questions you have about the scope Budget and timeline: Please share a quote for the project. We are aiming for a working first version within 5 business days. Fixed price preferred.