Topic
Source-linked workflows that name Approvals. Part of the AI agent use cases on UsecaseBoard, or browse all use cases.
An Ask HN on controlling agents that take real actions converges on: LLM proposes → deterministic validator (rules, spend ceilings, replay checks) → human approve—especially for refunds, payments, and database writes where prompt 'never do X' fails.
In r/AI_Agents, builders say the lasting 2026 pattern is collect→draft→show evidence→wait for approval: inbox triage, GitHub/release monitoring, support handoff drafts, and invoice extraction that formats billing payloads without silent sends.
Wyndo’s Make.com scenario watches new Gmail, runs an OpenAI-powered AI Agent module to label/archive/flag mail, and emails a morning summary (e.g. urgent vs newsletter vs follow-up) without auto-replying absent approval.
An Indie Hackers builder runs event-driven agents: when backend changes land, webhooks update TypeScript/Python SDKs, run tests, draft changelogs/PRs, and only deploy if checks pass—plus a morning schedule that drafts Agent Store listings for review.
Indie Hackers founder Sean Prentice used Claude Code to build an orchestrator + marketing director + specialist agents (content/ads/research) for his SaaS; outputs land in Slack and nothing posts or spends without his explicit say (~$10/mo self-use).
A thread claims a whole online business runs on 16 Grok Bots plus Opus for ~$165/mo with Whop, Vercel, Notion, Sheets, and Cursor wired in—founder's job is approving each consequential step.
Awesome Meta Muse Agent packages research/ops/travel/content briefs with explicit inputs, outputs, approval gates, and stop conditions—so vague goals stop becoming runaway browser sessions.
A property operator's plan: train Grok Bot to log into the water department and pay each tenant's bill, then hand the bill off so another agent can upload it into Buildium ledgers.
A Reddit X20 user runs nine scheduled ChatGPT agents across a repo—PR bugs, perf sweeps, docs clarity, unfinished features—each posting to its own GitHub issue as a message board, with human approval before merges.
In r/AI_Agents, a production workflow uses OpenClaw cron + browser automation + a Google Sheet ledger + Telegram reviews: the agent shortlists live deals with comps/screenshots but cannot message a seller until a human approves the exact note.
A user set up a Grok Bot with its own limited digital credit card while still requiring human authorization for every payment, with a path to let a bot team decide later if the trust loop works.
OpenAI categorizes submitted expenses and marks those needing approval, while the workflow records status in Sheets and sends managers details through Telegram and Gmail.
OpenAI vision extracts receipt totals and currency; deterministic checks compare them with expected booking values and route uncertain or mismatched documents to Slack.
The published workflow gathers conference details, exchange rates, and flight quotes, then prepares a budget-aware approval email and PDF expense breakdown.
OCR and Claude identify invoice and payment data; a Slack reviewer approves partial or final payment updates, with receipt records related back to each Notion invoice.