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Leading provider of powerful AI Chatbots for customer service and assistance. Over 100,000 users around the world. Claim your free chatbot at FastBots.ai

Fastbots provides AI powered chat bots trained on your own company or institutions data. They can then be used to offer customised assistance to you or your website visitors in a matter of minutes. We have over 100,000 users worldwide and many big name brands use our platform. Our team are constantly evolving and improving our service and you can rely on our fast support team to help you get the most from this powerful technology.

22/09/2026

Want an AI chatbot for your WordPress website, but not another coding project?

Our new video shows you how to build one with FastBots, train it on your website and get it working on a live WordPress site.

Follow along with Jay as we:
✅ Create a chatbot and train it on website content
✅ Test its answers before adding it to the site
✅ Install and connect the FastBots WordPress plugin
✅ Check the chatbot on the live website
✅ Add more knowledge and customise its appearance

You’ll see the setup on screen, so you can pause the video and follow each step on your own site. No coding needed.

Watch the full tutorial in the first comment.

17/09/2026

Before adding another AI tool to a recruitment stack, put it through six practical checks.

P: Which placement bottleneck are we solving?

L: What is the live source of truth?

A: Which accountable human owns the outcome?

C: What candidate and client data may the tool use?

E: What evidence will prove value?

D: Where is the delivery and decision fence?

We call this the PLACED Stack Test.

For FastBots, the job is the candidate or client conversation. Approved content provides the answer, and a configured source system confirms live vacancy status, interview availability or record changes. Ranking, rejection and employment decisions remain outside the fence.

If a vendor cannot answer all six questions in plain language, the tool is not ready for your recruitment workflow.

15/09/2026

Before adding another AI tool to an ecommerce stack, answer six practical questions.

C: Which commercial bottleneck are we solving?

A: What is the authoritative source for the answer or action?

R: Who reviews risky output and controls permissions?

T: What is the total cost, including setup, checking and overlapping subscriptions?

O: Which owned metric will prove the tool is useful?

N: What is the no-go boundary that always stays with a person?

We call this the CARTON Stack Test.

For FastBots, the source might be approved product and policy content plus a connected commerce action. Its job is the shopper conversation. The store still confirms live data, and unusual refunds, price changes and high-impact discounts stay behind narrow permissions and human controls.

If those six answers are unclear, the tool is not ready for the store.

14/09/2026

Your chatbot conversations can tell you what to fix next. Finding the clues shouldn't mean opening every chat by hand.

Introducing the FastBots MCP server: connect ChatGPT or another compatible AI assistant to your bots, with your permission.

Ask it to summarise recurring customer questions, flag answers that need attention, and suggest new Q&A entries for you to review. Managing several bots? Review the bots you can access from one AI conversation.

Try: "Review my support bot's latest 20 conversations. Which questions keep coming up, and which answers could be clearer?"

The connection is read-only. Your assistant can analyse and suggest; you decide what changes to make in FastBots.

No paid FastBots plan is required. Your AI app's own requirements may apply.

Our screenshot guide walks you through connecting. Find it in the first comment.

12/09/2026

A good service van carries the right tools, not every tool in the catalogue. Use the TRUCK Stack Test before adding another AI product.

T: Name the exact task and trigger.

R: Identify the record of truth for prices, availability, job status or service rules.

U: Assign the user and define the urgent human handoff.

C: Add the complete cost, then restrict what the system may answer, book, change or send.

K: Choose one KPI and a kill rule that would make you remove the tool.

For FastBots, approved content can support service information and trained written enquiries. A connected source system must confirm live facts or actions. Flooding, gas, electrical danger, vulnerable customers and unusual commercial work need business-approved routing and accountable people.

If a vendor cannot answer all five checks in plain language, the product is not ready for the workflow.

10/09/2026

Before an accounting firm buys another AI tool, answer six practical questions.

L: Which ledger, document set or approved source is correct?

E: What exact job should the tool perform?

D: What data may it access, retain or send?

G: Who owns governance, permissions and review?

E: What evidence will prove the tool is useful?

R: Where is the result recorded or routed next?

We call this the LEDGER Stack Test.

For FastBots, the source may be the firm's approved website information. Its job is to answer approved questions, collect contact and enquiry details, and send the enquiry to the right person. A qualified person still handles tax positions, ledger entries, professional judgement and final approval.

If those six answers are unclear, the tool is not ready for client work.

04/09/2026

The expensive home-services AI mistake is not always choosing the wrong product. It is often buying several products that quietly compete for the same job.

A field-service platform may already handle requests, scheduling, quotes and invoices. A specialist voice product may own missed calls. A measurement tool may turn site photos into dimensions. CompanyCam can organise job-site evidence.

FastBots has a different job. It answers trained written enquiries, collects the details the office needs and passes the conversation or a narrowly authorised action to the right workflow. It should not invent availability, prices, appointment confirmation or job status when the source system has not confirmed them.

Write one sentence for every tool: this product owns this task, using this record of truth. If that sentence is difficult, the stack may be too complicated.

03/09/2026

Before a law firm buys another AI tool, answer six practical questions.

M: Who will use it, and for which type of work?

A: Where does the correct information come from?

T: What single job should the tool do?

T: Where does its work go next, and how do we know it arrived?

E: What result will prove it is useful?

R: What must it never decide, and who checks its work?

We call this the MATTER Stack Test.

For FastBots, the answers might be: the website chatbot answers approved service questions, collects a potential client's contact and enquiry details, and sends them to the intake team. A person handles legal advice, conflict decisions, case assessment and client acceptance.

If you cannot answer all six questions clearly, the tool is not ready for real client work.

02/09/2026

The safest place for AI in recruitment is around the hiring decision, not inside it.

Software can organise information, answer routine questions, transcribe an interview and move approved data between systems. Those jobs can save a recruiter time without pretending that a model understands a person's future performance.

Ranking, rejecting or inferring protected traits is different. Those are high-impact decisions and should stay with accountable people using evidence they can explain.

FastBots follows that boundary. It can answer from approved vacancy and agency information, collect candidate or client details, read supported attachments and pass a useful conversation to the team. It does not decide who deserves an interview or a job.

A good recruitment AI policy should make that line obvious to staff, candidates and clients.

01/09/2026

The expensive ecommerce AI mistake is not always choosing the wrong product. It is often buying several products that quietly compete for the same job.

Two tools can write product copy. Three can recommend products. Several can summarise customer conversations. That does not mean all of them deserve a place in the stack.

Give each tool one owned job and one authoritative source. Photoroom can support product-image production. Nosto can own onsite search and merchandising. Klaviyo can own lifecycle email. Triple Whale can support cross-channel analysis.

FastBots has a different job. It answers from approved store content, collects enquiry details and can use narrowly permitted Zapier MCP actions. It should not invent stock, order, refund or delivery status when the connected store has not confirmed it.

If nobody can explain a tool's job in one plain sentence, the stack is probably too complicated.

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London

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https://fastbots.ai/

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