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- 🎮 The Next Input — Issue #069
🎮 The Next Input — Issue #069
Turn ChatGPT Into Your Company's OS

⚡ The Briefing — 60 sec
OpenAI’s Nick Turley says ChatGPT is becoming an operating system. GPT OS? The browser wars just got a new challenger.
AI cheating scandal hits Australian Catholic University. If you’re going to blame me, at least get it right...
Zendesk claims its new AI agent can solve 80% of support tickets. Do we even need people anymore? (Yes. For the 20% it breaks.)
🛠️ The Playbook — GPT OS: Building the “Everything Console” for Your Company
Mission Turn ChatGPT into your company’s operating system—an “everything console” that manages operations, executes automations, and provides insight across all teams from a single interface.
Difficulty Expert | Build time 4–6 hours (pilot)
ROI Replaces dozens of disconnected dashboards with one unified command hub, saving ≈ 20–30 hours per week across teams.
0) Why This Matters
Nick Turley isn’t exaggerating—ChatGPT’s evolution from assistant → operating layer is the single biggest shift in enterprise AI since RPA. Instead of jumping between dashboards, spreadsheets, and tools, your team will just ask GPT OS to do things:
“Show this week’s pipeline.”
“Approve invoices under $500.”
“Draft the release notes for today’s deploy.”
1) The Architecture
Layer | Tooling | Purpose |
|---|---|---|
Core Interface | ChatGPT (Custom GPT) | The console for human interaction |
Action Layer | AgentKit | Execute API calls across apps |
App Bridge | Apps SDK | Live context integration (Notion, HubSpot, Sheets, Jira, Slack) |
Memory | Supabase / Pinecone | Store long-term context, user preferences |
Policy Engine | JSON Rulebook | Define permissions + approval logic |
Reporting | Looker / PowerBI | Push metrics into GPT interface dynamically |
2) Workflow
Example: “Create a new support workflow and summarize this week’s Zendesk data.”
Input:
User asks in ChatGPT (connected via Apps SDK).
Plan:
GPT OS calls the Action Layer → identifies relevant tools (Zendesk, Notion).
Execute:
Pulls Zendesk metrics → creates summary in Notion doc → alerts #ops Slack channel.
Confirm:
GPT checks company Rulebook: “Non-financial action? ✅ Auto-approve.”
Memory Update:
Logs workflow pattern for future reuse.
Follow-Up:
Suggests: “Would you like to automate this as a recurring workflow?”
3) Core Prompts
Master Prompt – GPT OS Controller
SYSTEM: You are the Operating System for {Company}.
GOAL: Execute the user's request across connected tools.
RULES:
- Always plan before acting (list steps, then perform them).
- Confirm high-impact or financial actions before execution.
- Update company memory with {workflow, summary, metrics}.
TOOLS: [Notion, HubSpot, Slack, Sheets, Jira, Xero]
OUTPUT: JSON log {tool, action, result, timestamp}
Policy Prompt – Action Governance
Check if this action is approved:
Input: "Delete customer record"
Rulebook:
- "Financial actions require CFO approval"
- "Customer data deletion requires Legal confirmation"
Return:
{"approved": false, "reason": "Requires Legal sign-off"}
4) Guardrails
Auth Scopes: Per-user OAuth; only read/write data from approved sources.
Data Sensitivity: Restrict personal data and financial transactions by role.
Audit Trail: Log every command + result for compliance.
Fail-safe: Human confirmation for high-risk actions (delete, post, invoice).
5) Pilot Rollout — 4 Hours
Connect 3 core apps (Notion, Slack, HubSpot).
Create one company Rulebook (JSON file of policies).
Build Custom GPT + AgentKit with those integrations.
Test flows:
“Summarize this week’s deals.”
“Create next week’s team meeting doc.”
“DM me tasks overdue in Jira.”
Refine confirmations and logging.
6) Metrics
Avg workflows completed per user/day.
Approval/exception ratio (how often GPT needs a human).
Hours saved from dashboard context switching.
Reuse rate of automated workflows.
Pro tip: Add departmental custom GPTs (Finance OS, Sales OS, Support OS) all connected to a single Supabase memory for organization-wide orchestration.
🎯 The Arsenal — Tools & Prompts
Asset | What it does | Link |
|---|---|---|
AgentKit | Executes secure actions in your stack. | |
Apps SDK | Makes ChatGPT context-aware with real apps. | |
Supabase | Persistent context + user memory. | |
Prompt · Workflow Builder | Turns chat commands into multi-app workflows. |
User request: "Send customer follow-up for deals > $10k."
Return JSON plan:
[
{"app":"HubSpot","action":"query deals","filter":"value>10000"},
{"app":"Slack","action":"post message","template":"Follow-up sent!"}
]
💡 Free Office Hours
Want to turn ChatGPT into your team’s command console?
Book a free 15-minute Office Hours slot—no sales pitch, just workflows solved.
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🕹️ Game Over
Deploy your first GPT OS workflow today—tomorrow, your entire company runs from one command line: ChatGPT.
Share your win; you could headline Issue #070.
— Aaron
Automating the boring. Amplifying the brilliant.
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