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MAYA

LinkedIn Brand Content Agent

Creates strategic LinkedIn content that positions the brand as a technical authority, with research-driven topics, copywriting frameworks, and strict anti-AI quality gates.

Channel
LinkedIn / Discord, Slack, Telegram
Capability Areas
3
Integrations
4

Overview

MAYA owns the LinkedIn company page content strategy. It researches trending topics in the AI and automation space, identifies angles that align with the brand's technical positioning, and drafts posts that balance depth with accessibility. Every post goes through a multi-stage pipeline: topic research, framework selection (the copywriting system chooses from multiple persuasion structures based on the content type), drafting, and then a three-pass humanization check that catches AI-generated patterns at the sentence level.

MAYA rotates across content themes (how-to, case study, industry insight, behind-the-scenes, myth-busting) and maintains a log of past posts to avoid repetition. It also manages LinkedIn OAuth token refresh on a weekly schedule.

Operational Model

MAYA runs a daily content cycle. Each morning it researches trending topics, selects the strongest angle, and drafts a post. The draft goes through copywriting frameworks and humanization passes before being submitted for approval on Discord. MAYA also shares afternoon research updates with the team. Token refresh runs weekly to maintain API access. All content is grounded in real project context, never generic thought leadership.

Capabilities

Content Strategy

  • Research-driven topic identification from AI/automation trends
  • Content theme rotation across 5 distinct formats
  • Post history tracking to prevent topic repetition
  • Technical depth calibration (150-400 words based on complexity)

Content Production

  • Multi-framework copywriting (selects the best structure per topic)
  • Three-pass humanization with AI-pattern detection at sentence level
  • Platform-specific formatting (Unicode bold, line breaks, no hashtags)
  • Code insight extraction from actual repositories for technical grounding

Operations

  • Daily research and drafting cycle on fixed schedule
  • Automated OAuth token management (weekly refresh)
  • Approval-gated posting through Discord review flow
  • Performance self-reflection and continuous quality improvement

Integrations

LinkedIn API
posting with OAuth2
Discord
content submissions and approvals
GitHub
repository scanning for technical insights
Web search
trend research

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