Each one links to the original source, says what was reported, and lists the limits.
89 workflows
A shared n8n template pulls last week's Stripe revenue, Notion deal pipeline and a Sheets row of support numbers, has Claude write a three-paragraph summary, and emails and posts it to Slack.
A guide describes using an always-on OpenClaw agent to search Reddit and X for complaints about existing tools, check GitHub, Hacker News, npm, PyPI and Product Hunt for competitors, and turn the findings into an opportunity report before starting a project.
A 14-day test of Hermes Agent on a small VPS, reached through Telegram, with memory files, a daily and weekly briefing, and custom skills for content research.
A creator used the Hermes Agent desktop app to research another indie founder's products using her existing Grok subscription instead of the X API, then handed it a backlog of browser-tab tasks to run unattended on a schedule.
A founder-focused guide to trialing Grok for market scans, outreach drafts, document analysis and meeting recaps with a six-step test that splits public from private data and keeps human review.
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.
A business-automation blog shows how to let several Hermes agents message each other in Telegram so a research agent can hand work to a writing agent in a content pipeline.
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.
Manus's own blog lists small-business workflows: researching top competitors' pricing into a dashboard, turning a rough plan into documents and a deck, and updating ClickUp, calendars and email.
A review of Manus describes goal-to-deliverable runs such as an eight-page market analysis with a price comparison in about 15 minutes, with tips for scoping tasks and the credit costs and failures to expect.
A content creator used Manus to find companies advertising in AI newsletters, build a web-app CRM for YouTube sponsorships, and schedule recurring lead and trend checks.
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 creator ran a published content gap agent with Perplexity and Firecrawl, got a scored gap report, then discovered her local files missed 37 published posts and the real problem was distribution.
An open-source set of Claude skills that builds a shared context file, then produces positioning, customer research, competitive briefs, pricing and packaging and launch plans that build on each other.
A founder building a quiz funnel used AI for ten headline options in five minutes, a quiz rewrite and pricing copy, then found that choosing what to keep and cut was the real bottleneck.
A founder explains how trusting a confident, detailed AI pricing recommendation led to a structure that did not fit their audience, and the filter question they now use before acting on AI output.