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LinkedIn Auth
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LinkedIn Auth is a dual-engine system that turns what is actually happening in AI this week into high-authority LinkedIn content that reads like a real practitioner wrote it—paired with a scroll-stopping image that matches the emotion, not generic stock-AI art.
It avoids the trap of single-prompt AI slop by combining a specialized research pipeline (Pulse Scout) with a highly constrained writing pipeline (Authority Crew) and structural art direction (Visual Director). Built on a robust FastAPI async polling infrastructure, it guarantees quality and reliability in real-world workflows.
A true intelligence engine. Scans real-time signals across research papers, tech forums, and news to synthesize a factual Market Intelligence Briefing.
A strict 3-agent writing room. Anchors on emotional beats, enforces a 5-part anatomical cadence, and actively scrubs out "LLM-smell" vocabulary.
A post-writing step that determines optimal image style (e.g., documentary still, witty gag) and builds a structured JSON plan for the final render.
Separates intelligence gathering (Pulse Scout) from content generation (Authority Crew), grounding output in real events instead of generic facts.
Opinionated rules reject typical LLM patterns like em-dash pileups and abstract lists. A Critic agent cross-checks against "AI smells" before final output.
The pipeline relies on a hard 5-part anatomical structure and specific emotional beats, forcing concrete points over broad motivational language.
The Visual Director chooses between documentary, object portrait, or witty gags based on audience mapping, explicitly avoiding "stock-AI" aesthetics.
Generation takes 60–180 seconds. A FastAPI backend spins up async workers while the React UI polls statelessly. Zero timeout failures, zero long-held HTTP connections.
Maintains a stateless, robust job queue. Clean async endpoints guarantee UI concerns stay strictly isolated from the intensive multi-agent logic.