资源

让 AI 智能体真正干活的实用指南

把 AI 智能体用到 WhatsApp、邮件、CRM、调研和营销流程里的实用指南。每篇都是我们自己的做法:先做一个流程,凡是对外发出的都留人把关,每一步操作都记进不可篡改的审计日志。

精选

从这里开始:一支有人监督的智能体团队一天究竟能干完多少活,以及让客户真正有感的自动化打法——同时没有一条未经审核的消息离开你的公司。

开源

我们做出来并免费开放的东西——免费、MIT 许可,无需 Olano 账号即可使用。

面向新加坡中小企业

面向新加坡的专门指南——WhatsApp 客服、PDPA、政府补助、招人的账怎么算,以及各行业打法——现已上线 Olano Studio 网站。

指南

打底:AI 智能体是什么、在小公司里放在哪儿合适、平台怎么挑。

小企业用的 AI 智能体是什么?

用大白话讲清楚:智能体和聊天机器人差在哪儿,以及为什么把它们看成「你自己的一支智能体团队」更好用。

要不要招一个「AI 实习生」?

用实习生做类比:这个比喻在「有人监督的 AI 智能体」上说对了什么,又在哪儿不成立——而且多半是往对你有利的方向不成立。

如何挑选 AI 智能体平台

一份只盯真正要紧之处的选型清单:渠道、审批、审计记录、支出上限、BYOK,以及工作空间隔离。

小企业最值得上的几条 AI 流程

最值得先自动化的五条流程——客服、收件箱分拣、调研、CRM 跟进、社媒草稿——以及怎么挑第一条。

Guide: always-on AI agents

What 24/7 actually requires - five mechanisms, the question nobody asks in a demo, and four limits any honest vendor will name.

Guide: personal vs business AI agents

A consumer agent is issued to a person, and a business is not a person - the five things that follow from that.

Guide: what stops when you close your laptop

The overnight failure, diagnosed - seven things that need a live process, and the connector-expiry trap nobody expects.

Agent memory is not fine-tuning: what "learning" actually means

When an AI agent learns, either the model, what it is shown, or its instructions change. Only the last two happen in Olano, and both are files you can read.

An AI agent that works across devices

Continuity comes from where the state lives, not from an app. One agent on a laptop, a phone, WhatsApp and Telegram, and why locking your phone stops nothing.

AI agent memory that persists: what survives what

Four stores do the job a features list calls memory. Which survive a model switch, a restart, a new phone, a new channel or deletion, and which you can edit.

AI agent platform lock-in: what you keep if the vendor disappears

Portability comes from formats, not promises. What an agent is on disk, what survives a vendor vanishing, what you would rebuild, and the questions to ask.

AI agent pricing: per seat, per usage or per deployment

A seat is a person and an agent is not one. The three ways AI agent platforms charge, what each shape optimises for, how to predict usage and compare quotes.

Portable agent skills: what travels between platforms and what does not

Skills written as folders of markdown and scripts travel between platforms; the tool names, credentials and helpers they lean on do not. Where the line falls.

Expose your agent as an MCP server or an A2A agent card

Most agent platforms are MCP clients. How an Olano agent becomes an MCP tool or an A2A agent card, why both are off by default, and what a caller can do.

Why your MCP connections keep breaking, and what a platform must do about it

Four ways an MCP OAuth connection dies - dropped refresh token, moved token endpoint, boot timeout, lapsed consent - and what a platform must do about each.

Self-hosted AI agents: the honest guide

The honest self-hosting guide: a machine that stays up, a stable address, a supervisor, secrets, backups, connector renewals, updates and the sandbox question.

How to teach an AI agent a new skill

A skill is a folder with a SKILL.md file, not a fine-tune. What goes in it, how one reaches an agent, the tools rule, and how to fork the bundled chart skill.

实操手册

针对具体流程的分步搭建方法,每一套都自带人工审批和审计记录。

平台内部

每一次部署背后的架构——系统如何自我改进、如何记忆、如何在多个 AI 模型之间分派工作,而且始终有你的审批环节。

对比

老老实实的并排对比——包括哪些情况下通用 AI 工具或自建方案就够用了。

工作日志:AI 智能体团队 vs 人类团队

真实一天的运营工作,和同等量的人类团队做法对照——工时、按新元计的成本,以及局限,都如实记录。

指南:AI 智能体 vs 聊天机器人

用大白话说清楚:照剧本走的聊天机器人,和能在你系统里执行已审批操作的智能体,差别到底在哪儿。

表格:AI 智能体平台 vs 聊天机器人

逐项功能并排对比:聊天机器人搭建工具,对上带审批、审计历史和支出管控的智能体平台。

指南:运营场景下的 Olano vs ChatGPT

讲清楚:什么时候光用 ChatGPT 就真的够了,什么时候常驻在客户渠道上的智能体才值回票价。

表格:面向企业的 Olano vs ChatGPT

通用 AI 工作空间,与在你业务渠道上跑智能体的托管平台之间的详细对比。

对比:托管式 AI 智能体 vs 自建自动化

托管、有人运维的智能体,对上自己搭一套——成本、维护,以及自建更划算的情况。

表格:Olano vs Glimmer (Glints)

同一个问题的两种新加坡答案:员工群里的 AI 同事,还是客户渠道上的智能体。

表格:Olano vs Lindy

按额度计费的自助式 AI 员工,对比托管的独立部署——也包括 Lindy 更划算的情形。

表格:Olano vs Botpress

你自己搭建、自己运维的开发者优先平台,对比替你搭建并替你运维的系统。

表格:Olano vs Voiceflow

设计好的对话,对比交办出去的运营工作——也坦白说明语音深度上 Voiceflow 更强。

Table: Olano vs Grok Bot

Always-on bots sharing one cloud computer and every login, versus isolated agents on your customer channels.

Table: Olano Cortex vs Hermes self-learning

Two systems that learn from real work - one personal and local, one governed with approvals, undo and a budget.

Table: Olano vs OpenClaw

A self-hosted gateway you keep alive yourself, versus a managed deployment - and an honest look at what a VPS does and does not fix.

Table: Olano vs Meta Muse

Meta's personal agent on its own secure cloud VM, versus agents that belong to a business and answer its customers.

Table: Local vs cloud AI agents

A laptop is a session and a deployment is a service - what stops when the lid closes, and what renting a server does and does not fix.

客户故事

真实企业每天怎么用智能体,由他们自己讲。

不如从一条流程开始

每个使用场景页面都写明具体搭法:智能体做什么、接哪些工具、审批卡在哪一步。

不确定该从哪条流程下手?

约一次咨询。我们梳理你最值钱的那条流程、给出报价,等你点头才动手——几天上线,不是几个月。

洽谈项目