How do I serve them well?
Run the service, fulfil orders, and support customers day to day.
19 workflows
A solopreneur describes a fleet of named Grok Bots, each with one job and explicit anti-jobs, handling briefs, inbox triage, research and social drafts, with approval before anything is published or sent.
The README for Nous Research's open-source Hermes Agent describes persistent memory, skills it creates after complex tasks, a natural-language scheduler and one gateway for chat apps.
An infrastructure vendor's guide sets out business uses for OpenClaw and a phased rollout: pilot a low-risk workflow, add guardrails and approvals, then scale once value and safety are shown.
A hosting company's tutorial lists 25 OpenClaw workflows, including scheduled KPI posts, client onboarding folders and emails, expense logging and content repurposing, with security advice for running it safely.
An AI phone vendor's guide describes a solo founder template with an orchestrator, a business agent, a marketing agent and a dev agent reached through one Telegram chat, with claimed time savings.
A small open-source evaluation shows a naive support agent deflecting every ticket while resolving about half, and a policy-gated agent that deflects fewer but resolves what it handles.
A merged helpdesk change that, when a ticket is resolved, asks an AI whether other customers are likely to ask the same thing and writes a draft article for managers to review if none exists.
An open-source support workbench classifies tickets into three tiers, drafts replies that cite help-centre articles, reads billing data in read-only test mode, and only proposes refunds that need a named approver.
An open-source ticket deflection engine escalates risky tickets directly, answers procedural ones by rule, and uses retrieval over documentation with three confidence bands for auto-reply, human review and escalation.
A solo operator with a large Claude-based agent setup describes hiring a second model to audit it after a job reported success on unreadable images, and the lessons about declaring success too early.
An experiment where AI agents audited 154 small-business sites and built static sites under strict approval gates, with a verifier that found a third of its sampled audits cited problems already fixed.
A framework for choosing a first AI automation by its worst-case outcome, connecting an inbox read-only, watching the first twenty runs, and naming who verifies output before widening the agent's permissions.
A solo developer describes an hourly support agent on a spare computer that classifies emails, replies to what it can answer from an instruction file, and forwards everything else to the founder.
A solo automation engineer lists seven n8n workflows for agencies, from CRM-triggered onboarding to proposal reminders, with AI used for inbox triage and content repurposing drafts.
A freelancer's guide to the business side of building document chatbots for small clients: discovery call, a small free demo, a one-page scope, testing, handover and monthly support.
An AI engineer describes a retrieval-augmented chatbot deployed for one client with over 500 PDFs, with the chunking and retrieval choices, and reports 94% answer accuracy against 61% for plain GPT-4.
An automation engineer describes an n8n workflow that pulls analytics, search and ad data each Friday, has Claude write a plain-English comparison with the prior week, and emails clients a Google Doc.
A freelance growth consultant describes eleven Claude workflows that draft proposals, chase invoices, score leads, onboard clients and send daily and weekly briefs from connected tools.
A vendor's write-up of a 90-day support automation test at a SaaS company: staged rollout, a confidence threshold for human review, and fixing outdated docs before the AI could resolve most tickets.