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AI Social Agents

Built like infrastructure. Controlled like behavior.

Behavioral-AI discipline applied to live social platform ecosystems — production-grade conversational agents with persistent state across Instagram, X, Discord and WhatsApp. This is agent architecture, not bot scripting.

InstagramX / TwitterDiscordWhatsAppPersistent memoryHuman-in-the-loopLive ops

Positioning

This is agent architecture, not bot scripting

Behavioral discipline

Behavioral-AI discipline applied to live social platform ecosystems.

Production-grade

Conversational agents engineered for real production environments.

Persistent & structured

Structured interaction systems with persistent state across platforms.

System overview

Five layers. One controlled system.

01

Engagement

Human-like discovery, comments, replies and DMs across platforms.

02

Content

Supervised generation and publishing — feed, Stories and Reels.

03

Knowledge & Memory

Persistent user profiles, RAG and live structured-SQL knowledge.

04

Safety & Control

Anti-bot pacing, moderation, and operator approval at every step.

05

Campaign Mechanics

Full conversational campaigns — receipts, teams and prize fulfilment.

The agent stack

Built in layers, deployed as one

Layer 1

Personality architecture

Voice, banned phrases, topic gates per brand.

Layer 2

Behavioral logic engine

Prompt-driven pipeline: classify, route, respond.

Layer 3

Tone & context control

Platform-native register, language lock, memory.

Layer 4

Safety & moderation

Scope clamps, refusal logic, escalation hooks.

Layer 5

Multi-platform deployment

One context shipped across four live channels.

Platform coverage

Four live channels. The rest is roadmap.

Live

Instagram

Browser engagement pipeline + Graph API.

Live

WhatsApp

Real-time DM agent · campaign in pipeline.

Live

Discord

Multi-context bot, persistent threads.

Live

X / Twitter

Post, reply & monitor (API-tier limits).

Roadmap

TikTok · Facebook · LinkedIn · YouTube

Recognised in the platform registry — scaffolding only, controlled expansion as agents mature.

01 · Capabilities — the engagement pipeline

Public engagement becomes private conversation

01

Discover

Scout target profiles & hashtags.

02

Score

Text + media relevance, 0–10.

03

Comment

Brand-voice reply, posted live.

04

Reply

Harvest responses on the thread.

05

DM

Escalate warm leads privately.

Every commenter can become a target page. Every reply can become a DM. Strict eligibility and frequency caps apply.

Capabilities — the engine

Engagement, content, knowledge and safety

Beyond the API

Notification intelligence reads in-app replies and mentions the Graph API never surfaces; a page-discovery flywheel promotes or retires target pages by real engagement yield.

Content factory

Trend → generate → validate → publish. Feed posts, Reels and campaign moments — supervised and approval-ready.

Account safety

Warmup stages, hourly rate windows, action spacing, blockers & cooldowns, reach-drop detection and auto-throttle.

Real-time DM processing

Ingestion → intent classification → tone modulation → response generation → engagement loop, end to end.

Knowledge & memory

Persistent profiles, RAG over Postgres / pgvector, and live structured-SQL queries on context-owned tables.

Operator control plane

Run, approve and tune with no code — schedules, prompts, RAG memory, content approval, metrics and a webchat simulator.

02 · In production

Three live agents — plus a campaign in the pipeline

Live · Instagram + X

Trivia game character

Turns followers into players — discovers posts, comments in-voice, escalates warm followers into DM trivia. Organic acquisition, no ad spend.

3,189
posts discovered
379
comments posted
157
DMs sent
Live · Instagram

Luxury brand ambassador

A high-end lifestyle persona. Its browser Instagram pipeline went live and validated on production, with successful comment activity and a rising posted count.

Live · Discord · WhatsApp · IG

Gaming community agent

Answers with live data, not a script — queries context-owned tables for products and tournaments so replies reflect real inventory and events in real time.

“Shake off that boredom! Quick one, no Google: what's the capital of Australia — Sydney, Canberra or Melbourne?”
— trivia agent, example interaction

Campaign engine · in pipeline

A full campaign, run inside the chat

Built and launching soon with a major consumer brand. Reusable mechanics per brand and per campaign — receipts, teams, prizes and operator approval.

01

Scan

Player sends a receipt photo.

02

Validate

Vision check + duplicate guard.

03

Team up

Form or join a team.

04

Reserve

Prize code locked atomically.

05

Deliver

Operator approves, card sent.

03 · Where it stands

Live today, built to expand

Operational AI systems, designed for controlled brand deployment at scale.

Built like infrastructure. Controlled like behavior.