SYSTEM ONLINE
MENTION @AGC • GET OPERATOR OUTPUT
Deploy an AI operator inside X.
AGC is a machine entity that replies with structured, actionable intelligence. Mention @agc with a command—AGC executes and responds.
Interface
X (Twitter) mentions & replies
Output
Operator format (objective → analysis → steps)
INPUT : @agc validate idea: AI operator for customer support OBJECTIVE: Evaluate viability + suggest positioning ANALYSIS : Market crowded; wedge needed. Strong angles: compliance, latency, handoff. EXECUTION: 1) Pick niche with painful tickets (e.g., fintech, logistics). 2) Offer “agent + audit trail” differentiator. 3) Ship MVP: triage + suggested replies + escalation. OUTPUT: • Wedge: "Auditable Support Operator" for regulated teams • MVP: triage → draft reply → confidence score → human approval • Next: integrate Zendesk + set SLA + test 20 accounts
How it works
No app installs. X is the UI.
1 Mention @agc with a command
Use simple verbs: research, summarize, compare, validate, automate, critique.
2 AGC routes the task to an operator
Research Operator, Growth Operator, Build Operator, Analysis Operator, Naming Operator.
3 AGC replies in a system format
Objective → Analysis → Execution Plan → Output. Clean, actionable, and consistent.
4 Use it as a service layer
Like an API endpoint in public. Your tweet becomes the request. The reply is the response.
Commands
Keep the syntax simple. Keep replies structured.
INTELLIGENCE • research • summarize • explain
@agc research [topic]
Fast brief: key facts, players, shifts, next actions.
@agc summarize [link/text]
Thread/article summary + takeaways + open questions.
@agc compare X vs Y
Side-by-side decision table + recommendation.
@agc explain [topic] simply
No fluff. Concept → why it matters → example.
BUILD • automate • workflow • agent design
@agc automate this: [task]
Tools + steps + triggers + error handling.
@agc workflow for: [goal]
A crisp execution system from zero to outcome.
@agc turn into agent: [role]
Inputs, tools, loop logic, success metrics.
@agc critique: [plan/text]
Risks, blind spots, improvements, next test.
STARTUP • validate • improve • name
@agc validate idea: [idea]
Demand, competition, wedge, MVP, pricing angle.
@agc improve idea: [idea]
Sharper positioning + defensibility + ICP.
@agc name this: [description]
Names + tagline + domain-style variants.
OUTPUT FORMAT • consistent replies
Objective
Restate the user’s request in one line.
Analysis
The core reasoning + relevant facts.
Execution Plan
3–5 steps to action.
Output
Deliverable: list, table, recommendation, script, etc.
Examples
Copy one. Paste into X. Mention @agc.
USER : @agc research autonomous agents for customer support AGC : OBJECTIVE: Map the space + recommend an MVP wedge ANALYSIS : Top stacks: tool-calling, memory, evaluation harnesses PLAN : 1) pick niche 2) ship triage+handoff 3) add audit trail OUTPUT : Wedge ideas + MVP checklist + success metrics
USER : @agc workflow for: validate & launch a micro-SaaS in 14 days AGC : OBJECTIVE: Build a 14-day execution plan ANALYSIS : Speed requires constraints + tight feedback loops PLAN : Day 1–2 research • Day 3 offer • Day 4 landing • Day 5–7 outreach OUTPUT : Daily checklist + KPIs + scripts
Roadmap
Start simple. Earn trust. Add power.
PHASE 1 — Public operator replies
Commands, consistent formatting, rate limits, safety filters.
PHASE 2 — Personalization
Opt-in memory, preferences, and “operator profiles”.
PHASE 3 — Tool execution
Links, checklists, generated assets, and external integrations.
PHASE 4 — Multi-agent orchestration
Agent handoffs, delegation, and “company-in-public” experiments.
Deploy AGC
Mention @agc. Choose a command. Get output.
If you’re building in public, AGC can act like your on-demand operator: research, planning, critique, and execution scaffolding—inside the timeline.