AI AgentsRole: GTM Automation — Autopilot Agents·Timeline: Oct 2024 – Nov 2025
Heurist AI: Human-in-the-Loop Content Autopilot Agents
Architecting automated AI agents with state machines and approval gates to generate top-of-funnel content across X and LinkedIn.
Last verified: 2026-09-15 · Bengaluru, IN
Executive Summary
Heurist AI is a decentralized AI cloud platform. The challenge was maintaining constant, authoritative technical engagement across social media channels (X and LinkedIn) without hiring an expensive editorial team.
The Core Bottleneck
Purely autonomous AI posting tools frequently hallucinate, repeat stale templates, or cause brand embarrassment. Conversely, manual drafting creates severe content bottlenecks and irregular posting cadences.
Architecture Schematic
[Tech RSS / GitHub Commits / Papers] ──> [Claude / GPT Summarizer]
│
┌───────────────────────────────┘
▼
[State Machine: Draft -> Format -> Validation]
├── Validation Failed ──> Retries (Max 3) ──> Error Log
└── Validation Passed ──> [Slack Interactive Approval Gate]
├── Reject ──> Feed to RL Feedback
└── Approve ──> Scheduled Multi-Platform Dispatch
How I Built It
- State Machine Logic: Structured workflows inside n8n with deterministic states (
DRAFTED,FORMATTED,AWAITING_REVIEW,APPROVED,DISPATCHED). - Error Recovery & Circuit Breakers: Built retry loops with exponential backoff for LLM rate limits and API timeouts.
- Interactive Approval Gate: Dispatched formatted previews with 1-click Approve/Edit/Reject buttons into a dedicated Slack channel.
- Distribution Automation: Routed approved payloads to X (Twitter) API v2 and LinkedIn marketing endpoints with native media attachments.
Verified Results
- Maintained regular top-of-funnel technical presence across X and LinkedIn without a dedicated content department.
- Designed agent workflows with resilient state-machine logic, retries, and comprehensive error handling.
- Ensured 100% of outbound social posts passed through human editorial verification before publishing.
What I Would Do Differently
TODO(tibin): Add notes on automated comment sentiment analysis and inbound engagement auto-replies.