Platform Agent — Sonnet
Ari.The content engine.
Blog posts. Social media. Partner articles. Syndication. Alpha-Bravo generates, formats, and publishes content across every channel — on schedule, with approval gates before anything goes live. No copywriter bottleneck. No blank page problem.
The Problem
Content is a volume game. Humans don't scale.
Consistent content publishing is one of the highest-leverage marketing activities — and one of the most neglected. Not because companies don't know it matters, but because the production process breaks down at volume.
A blog post requires topic selection, research, drafting, editing, formatting, SEO optimization, and publishing. A social media calendar requires three to five posts per day across multiple platforms, each with unique formatting, image requirements, and tone. Partner content requires coordination with external stakeholders, deadline management, and brand-appropriate adaptation. Syndication requires reformatting the same content for different distribution channels.
Each of these is individually manageable. Together, they overwhelm any marketing team that isn't dedicated full-time to content production. The result: companies publish inconsistently, social accounts go silent for weeks, blogs accumulate dust, and the compounding returns of consistent content never materialize.
Alpha-Bravo solves this by treating content production as a workflow automation problem, not a creative one. The agent handles everything mechanical — topic selection from a signal-derived queue, draft generation, formatting, SEO structure, image sourcing, scheduling, and publishing — while keeping humans in the loop for the one step that actually requires judgment: approving the final output.
How It Works
Five channels. One engine. Approval before everything.
Alpha-Bravo manages content across multiple publishing channels, each with its own cadence, format, and approval flow.
Social Media
3 posts/day: carousel, reel, and story. Scheduled throughout the day with platform-native formatting.
Blog
4 drafts/week from a signal-derived topic queue. SEO-structured, deployment-ready HTML.
Partner Content
Weekly partner articles written and deployed with brand-appropriate voice and external coordination.
Syndication
Existing content reformatted and distributed across secondary channels for maximum reach.
Outreach Content
Signal-personalized email drafts that reference real events, not generic templates.
The production pipeline
Blog topics come from an intelligence-fed queue — populated by signals from the intelligence layer. Topics are selected based on industry relevance, trending signals, and content gaps in the existing library. Social content themes rotate through a concept bank that prevents repetition and maintains brand variety. The agent never stares at a blank page. The queue always has work.
Each channel has specific format requirements. Blog posts are generated as deployment-ready HTML with proper heading hierarchy, internal links, meta descriptions, and structured data. Social posts are formatted for their specific platform — character limits, hashtag strategies, image aspect ratios. Partner articles match the external publication's voice and style. The agent adapts tone, length, and structure per channel automatically.
Every piece of content — blog post, social post, partner article, syndication package — routes through an approval gate before publishing. The approval interface is minimal: preview the content, tap approve or skip. No login required. No dashboard to navigate. One tap from a messaging app. This is the only human step in the entire pipeline.
Approved content publishes automatically. Blog posts deploy to the site with updated sitemaps and RSS feeds. Social posts publish through platform APIs at optimal times. Partner articles deploy to external sites. Syndication variants distribute across secondary channels. The agent handles image uploads, metadata, cross-linking, and index updates — no manual deployment steps.
Every content action — draft generated, approved, skipped, published, performance metrics — is logged. Over time, this creates a feedback loop: which topics perform, which formats engage, which channels convert. The content strategy evolves based on data, not gut feeling.
The OS Underneath
Content with memory. Not content in a vacuum.
Alpha-Bravo isn't a text generator with a scheduler bolted on. It runs on the same operating system as every other Montebelle agent.
Memory continuity means the agent knows what it published last week, last month, and last quarter. It doesn't repeat topics. It doesn't contradict previous positions. It maintains voice consistency across hundreds of pieces of content because it can actually reference its own history — not because someone manually maintains a content calendar.
Verification gates ensure that factual claims in content are sourced. If the agent drafts a blog post citing a statistic or referencing a company, the claim is checked against its source before the draft enters the approval queue. This doesn't eliminate the need for human review — it means the human reviewer is checking quality and tone, not fact-checking every sentence.
Fleet learning means that content patterns that work in one deployment inform the next. A blog format that drives engagement for one client becomes a template option for future deployments. A social media approach that falls flat is deprioritized fleet-wide. The content engine improves across every deployment, not just within one.
Model: Sonnet — chosen for high-throughput content generation. Sonnet balances quality and speed for the volume required across five publishing channels. Opus handles editorial judgment calls when the content requires complex reasoning.
Ready to see what an agent looks like for your workflow?
Content production doesn't have to be a bottleneck. Alpha-Bravo turns it into an approval workflow — you decide what goes live, the agent handles everything else.
Let's TalkFixed price. Two to four weeks. You own the code.