DEV Community: Harsh Srivastav

How Freelancers and Creators Are Using AI Agents to Handle Client Questions 24/7

Harsh Srivastav — Tue, 21 Jul 2026 11:41:40 +0000

If you're a freelancer or solo creator, you already know the tension: the questions that keep your business running — "what's your availability," "how much does this cost," "do you take on projects like mine" never stop coming in, but you can't always stop what you're doing to answer them.

An AI agent trained on your own content gives potential clients an instant answer, even when you're heads-down in actual work.

The Problem With Being a One-Person Support Team

When you're a freelancer or solo creator, you're doing the work, running the business, and answering every inbound question, often all in the same afternoon. A few things tend to happen as a result:

Inquiries sit unanswered for hours (or days) while you're focused on client work
The same handful of questions come up over and over pricing, process, timelines, availability
Potential clients move on to someone who replied faster, even if your work is a better fit
Answering questions starts to feel like its own part-time job

None of this means you need to hire someone. It usually just means the repetitive part of client communication needs to be handled differently.

What an AI Agent Can Take Off Your Plate

An agent trained on your own site, portfolio, and past client communication can handle the questions that come up predictably:

Pricing and packages — pull directly from your rate sheet or service page, so people get a real answer instead of "reach out for a quote" every time
Availability and process — how you typically work, your usual turnaround time, and how to get started
Portfolio questions — pointing potential clients to relevant past work based on what they're asking about
Booking and next steps — capturing a name, email, and project details so you have everything you need when you do follow up personally

The goal isn't to replace the personal conversation that actually closes a client, it's to make sure that conversation happens with someone who already has the basics answered, instead of starting from zero.

Setting One Up as a Solo Operator

1. Train it on what you already have
Your service or portfolio pages, your rate sheet, your FAQ, and even old email replies you've sent to similar questions before are all fair game to train on.

2. Give it your voice
Since you're often the entire brand, set the agent's tone to sound like you not like a generic customer service bot. This matters more for solo creators than almost anyone else.

3. Deploy it on your site
A single script tag on your portfolio or service site is enough. No developer, no rebuild of your existing site required.

4. Let it capture leads while you work
Every conversation is a chance to collect a name and email, even from someone who isn't ready to book yet so you're not relying purely on memory or a missed DM to follow up later.

Who This Fits Best

This tends to matter most for:

Service-based freelancers (designers, developers, consultants) fielding repetitive pricing and process questions
Creators with a portfolio site who get inbound interest but limited time to personally respond to every message
Coaches and solo consultants who want to pre-qualify interest before jumping on a call

The Bottom Line

You don't need a support team to stop losing potential clients to slow replies. An AI agent trained on your own content and voice can handle the repetitive part of client communication, so the time you do spend replying personally goes toward the conversations that actually turn into work.

Want your portfolio or service site to answer for you?

Build your first agent on Doupple for free - no credit card required.
Doupple

How to Add an AI Support Agent to Your Shopify Store in Under 10 Minutes

Harsh Srivastav — Tue, 14 Jul 2026 18:54:59 +0000

Every hour your Shopify store is open, customers are asking questions your team may not be around to answer "where's my order," "do you ship internationally," "does this come in another size." Each unanswered question is a chance for someone to abandon their cart and buy from a competitor instead.

Here's a straightforward walkthrough for getting an AI support agent live on your Shopify store, without touching a line of code.

Why Shopify Stores Benefit From an AI Agent

Online stores deal with a predictable pattern: high-volume, repetitive questions (shipping times, return policy, sizing) mixed in with occasional complex ones that need a human. An AI agent handles the repetitive volume instantly, at any hour, while flagging or routing anything it can't confidently answer. For a store running lean on support staff, that alone can meaningfully reduce cart abandonment tied to unanswered questions.

Step 1: Gather the Content Your Agent Should Know

Before touching the platform, pull together what you want your agent trained on:

Your shipping and return policy pages
Your FAQ page, if you have one
Product descriptions or a product catalog export
Any order-status or tracking information customers commonly ask about

You don't need this perfectly organized Doupple can train directly from URLs, PDFs, or plain text, so pointing it at your existing policy pages is often enough to start.

Step 2: Train Your Agent

Inside Doupple, create a new agent and feed it the content you gathered:

Paste in the URLs of your shipping, returns, and FAQ pages
Upload any policy documents as PDFs
Add plain text for anything not already published on your site (like internal notes on common exceptions)

The agent processes this content into a knowledge base it can pull answers from, so when a customer asks "how long does shipping take," it's answering from your actual policy, not a generic guess.

Step 3: Customize Its Appearance and Tone

Set the agent's personality to match your brand voice casual and friendly for a lifestyle brand, more precise and formal for something like a technical or B2B storefront. Customize the widget's colors and styling so it looks like it belongs on your site rather than a bolted-on tool.

Step 4: Deploy to Your Store

Doupple supports direct integration with Shopify, so deployment comes down to adding a single script tag to your store's theme. Once it's added, the chat widget appears live on your storefront - no developer required, and no need to touch your theme's core files beyond that one embed.

Step 5: Turn Conversations Into Leads

While your agent is answering product and order questions, it can also capture emails or phone numbers mid-conversation - useful for capturing interest from visitors who ask a question but aren't ready to buy yet. That contact info can feed directly into your existing email or retargeting flow.

The Result

In under 10 minutes, your Shopify store goes from "customers wait for a reply" to "customers get an instant, accurate answer, day or night" - with every conversation also working as a potential lead capture.

Ready to try it on your own store?

Build your first agent for free - no credit card required.
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5 Signs Your Support Team Needs an AI Agent (Before You're Overwhelmed)

Harsh Srivastav — Sat, 11 Jul 2026 12:06:31 +0000

Most teams don't decide to adopt an AI agent because they read a compelling case study. They decide because something finally broke a response time slipped, a customer complained publicly, or someone on the team quietly burned out answering the same question for the hundredth time.

If any of the following sound familiar, it's worth looking at an AI agent before the problem gets bigger.

1. Your Team Answers the Same Questions Every Day

If your support inbox is full of variations of "how do I reset my password," "what's your return policy," or "how does pricing work," you don't have a staffing problem you have a repetition problem. An AI agent trained on your docs and policies can absorb all of that repetitive volume instantly, freeing your team to handle the questions that actually need a human.

2. Response Times Are Creeping Up

A few minutes of delay might not matter. A few hours starts to. Once your average first-response time drifts past what your customers expect, you start losing people before a human ever gets the chance to help them. An AI agent responds instantly, 24/7, which closes that gap without adding headcount.

3. You Only Have Support Coverage During Business Hours

If your customers are global, or simply active outside your team's working hours, every question that comes in overnight or on a weekend just sits there. An AI agent doesn't need a shift schedule it's available the moment someone has a question, regardless of time zone.

4. New Hires Take Too Long to Get Up to Speed

This one isn't customer-facing, but it's just as real. If onboarding a new team member means walking them through a dozen scattered docs and answering the same "where do I find X" questions repeatedly, an internal AI agent trained on your SOPs and policies can shortcut that process significantly letting new hires ask questions directly instead of hunting for answers.

5. You're Losing Leads Because No One Replies Fast Enough

Every unanswered question on your site is a potential lead going cold. If your team is stretched thin enough that inquiries sit unanswered for hours, you're not just creating a support backlog you're actively losing business. An AI agent that can answer instantly and capture contact details mid-conversation turns that lost opportunity into a captured one.

What to Do About It

None of these signs mean you need to overhaul your entire support operation. They mean it's time to let an AI agent absorb the repetitive, always-on parts of the job so your team can focus on the conversations that actually require a person.

Doupple lets you train an agent on your existing docs, FAQs, and policies, customize how it looks and sounds, and deploy it to your site or internal tools in a few minutes no engineering work required.

Recognize more than one of these signs?

Build your first agent for free no credit card required.
Doupple

Build and Deploy AI Agents for Customer Support, Team Support, and Everyday Business Needs

Harsh Srivastav — Tue, 07 Jul 2026 19:32:46 +0000

If you've ever lost a lead because no one replied to a chat fast enough, watched your support inbox fill up with the same five questions on repeat, or wished your team could just ask your internal docs a question instead of digging through folders you already understand the problem Doupple was built to solve.

Doupple is a platform for building and deploying AI agents. You train an agent on your own content, shape its personality and appearance, and put it to work wherever you need it answering customers on your website, supporting your internal team, or handling the everyday questions that eat up your time. No engineering team required. No months-long rollout. An agent trained and live in minutes.

Why Businesses Are Moving to AI Agents in 2026

Visitors expect instant answers. If someone has to fill out a contact form and wait a day for a reply, most of them leave and they don't come back. Employees are no different: they'd rather ask a question and get an answer than search through five different documents to find a policy that may or may not still be current.

This is the shift happening right now across SaaS, e-commerce, internal operations, and solo businesses alike: static FAQ pages, buried SOPs, and overloaded inboxes are being replaced by AI agents trained directly on your content. The businesses adopting this early aren't just saving time they're capturing leads and reducing internal friction that used to just get absorbed as "the cost of doing business."

What You Can Build With Doupple

Doupple isn't limited to one use case. It's a platform for building the specific kind of AI agent your situation calls for:

Customer Support Agents

Train an agent on your product docs, help center, and FAQs so it can answer customer questions instantly, around the clock pulling only from the content you've approved, not generic guesses.

Personal Support Agents

Freelancers, creators, and solopreneurs can deploy an agent on a portfolio or service site to handle client questions, booking details, and FAQs while they're heads-down in actual client work.

Company / Internal Support Agents

Turn your internal docs, policies, and SOPs into an agent your team can just ask. New hires get onboarded faster, and nobody has to interrupt a teammate to find out where the reimbursement policy lives.

E-commerce Support Agents

Handle product Q&A, order status, and cart-recovery conversations without needing to staff up your support team every time traffic spikes.

How Building an Agent on Doupple Works

1. Train it on what you already have
Upload PDFs, paste in URLs, or drop in plain text. Doupple turns your existing docs, help center, or product pages into a knowledge base the agent draws from no manual scripting of conversation trees required.

2. Shape its personality and appearance
Customize how the agent looks and how it talks, so whether it's facing customers, your team, or your own clients, it feels like a natural part of the experience rather than a bolted-on tool.

3. Deploy it wherever it's needed
Doupple supports embeddable widgets, standalone chat pages, and integration with Next.js, React, WordPress, Shopify, Webflow, and plain HTML. One script tag, and the agent is live on your site, your internal wiki, or a shared link for your team.

4. Capture leads automatically
Every customer-facing conversation is also an opportunity. Doupple's agents can collect names, emails, and phone numbers mid-conversation, so support interactions double as lead generation.

Getting Started Takes Three Steps

Train - Feed your agent your content: docs, URLs, or text.
Customize - Set the tone, personality, and appearance to match who it's talking to.
Deploy - Copy one script tag into your site, or share a standalone link.

The whole process takes about two minutes, and Doupple's free plan requires no credit card a low-friction way to test whether an AI agent actually moves the needle for your support, internal ops, or lead-gen numbers before committing to a paid plan.

The Bottom Line

An AI agent isn't just a support-cost play anymore. It's becoming the default way businesses handle customer questions, internal knowledge, and everyday client communication all without adding headcount. Doupple's combination of fast setup, flexible training sources, and multi-use-case deployment makes it a practical starting point whether you're supporting customers, your own team, or your personal client base.

Ready to build your first agent? Train it on Doupple in under two minutes no credit card required.

Doupple

Building AI Support Agents Without the Backend Headache

Harsh Srivastav — Fri, 03 Jul 2026 09:39:30 +0000

Customer support is a challenge that all products face at some point. You start making sales of your product because people love it, and before you know it, you are answering the same five questions again and again through every possible channel like email, Discord, Twitter DMs, etc. And scaling that isn't feasible at all; after all, hiring a support team when you have no money isn't really an option.

This is the problem we tried to solve with Doupple.

What is Doupple?

Doupple builds your customer support and lead generation AI agent. You give it your documents, links, or plain text, and it builds you a custom-trained AI agent capable of answering customer queries, guiding them through the use of your product, and collecting leads on your site.

For starters, make no mistake — this isn't some kind of drag-and-drop solution. You'll still have to plug in a script tag and do some minor configuration depending on your technology stack. What Doupple does eliminate, however, is the hard work, you won't need to create a RAG pipeline, handle vector embeddings, create the retrieval code, or run any back end in order to get an AI support agent that actually knows your product.

Deployment of your trained agent will take a few minutes on Next.js, React, WordPress, Shopify, Webflow, or even HTML.

Why we built it

As developers, most of us have either:

Rapidly built a very basic chatbot by integrating with the OpenAI API and realized very soon that although calling the API was easy 20%, the remaining 80% is chunking up the documents correctly, handling the embeddings, context windows, retrieval, and hallucination (if the model doesn't have context enough) and even building an admin panel to see what questions users ask.
Spent money on overkill (also expensive) enterprise-level customer support software like Intercom, Zendesk (but with AI). It's definitely overkill and over-priced for a small project, early-stage company, or even a side hustle validation project.

We wanted something that sits in the middle: give us the retrieval and training infrastructure so we're not reinventing it from scratch, but keep enough control that it doesn't feel like a black box glued onto our site.

How it works under the hood

1. Upload your knowledge base
Drop in your documentation, FAQ pages, product content, or even raw text. You can mix formats - a PDF here, a URL there, some manually written context for edge cases your docs don't cover.

2. The agent gets trained
Your content gets processed and indexed so the agent can actually reason about context, rather than doing basic keyword matching. This is the part that would normally take you a few days to build properly (chunking strategy, embedding model choice, retrieval tuning) - here it's handled for you.

3. Customize the flow
Set up conversation flows and lead-capture triggers - for example, auto-detecting when someone shares their email, asks a pricing question, or requests to be contacted, and routing that into a structured lead instead of losing it in a chat transcript.

4. Deploy
Add the script tag to your site, style it to match your branding, and it's live. You still touch code here - it's just a fraction of what building this from scratch would take.

The stack behind Doupple is built on Next.js 15, React 19, Supabase, and OpenRouter for model access, which means we're not locked into a single model provider - that flexibility matters as the LLM landscape keeps shifting month to month.

Who this is actually for

Indie hackers and solo founders who need support coverage but don't have time to build a full RAG system on top of everything else they're shipping
Small teams that can't yet justify $500+/month on enterprise support tooling
Agencies that want to offer AI-powered support as a service to clients without building and maintaining the infrastructure themselves
Developers validating an idea who want real user questions answered 24/7 without babysitting a chatbot

What it's not

It's not a magic zero-code solution, and we're not going to pretend otherwise. You'll still need to understand your stack well enough to drop in a script tag, configure it, and probably tweak a few things based on how your users actually talk. If you're looking for something with literally zero technical involvement, this probably isn't it. If you're a developer who wants to skip the painful infrastructure work and focus on the actual product experience, that's exactly the gap we're filling.

Try it

We're currently in beta, and it's free to get started - no credit card required.

👉 doupple.com

We're actively building based on feedback, so if you try it and hit a rough edge, an error, or just have a suggestion, drop a comment here or reach out directly. We read everything, and being early means your feedback actually shapes what gets built next.

Have you built or used AI agents for support/lead capture before? Curious what part of the process gave you the most trouble - was it the retrieval/embeddings side, prompt reliability, or just getting leads to route somewhere useful? Would love to hear how others have approached this.

What Building a Customer Testimonial Platform Taught Me About Trust

Harsh Srivastav — Tue, 30 Jun 2026 07:52:34 +0000

What Building a Customer Testimonial Platform Taught Me About Customer Trust

When I first started working on a customer testimonial platform, I thought the biggest challenge would be collecting reviews.

I couldn't have been more wrong.

The real challenge wasn't convincing customers to leave feedback. It was understanding why happy customers rarely leave testimonials in the first place.

After talking to freelancers, agencies, restaurant owners, startups, and small business owners, one pattern kept repeating itself.

Almost everyone had satisfied customers.

Very few had a system for turning those happy customers into social proof.

That realization completely changed how I thought about testimonials.

The Biggest Problem Isn't Bad Products

When businesses struggle to collect testimonials, the first assumption is often:

"Our customers just don't leave reviews."

In reality, that's usually not the problem.

Most businesses already have customers who appreciate their work.

The problem is that reviews are often requested at the wrong time.

A customer finishes a project.

They enjoy the experience.

They recommend the business to a friend.

Then a week later they receive an email asking:

"Would you mind leaving us a testimonial?"

By that point, life has moved on.

The excitement is gone.

The moment has passed.

Timing Matters More Than Most People Think

One lesson became obvious very quickly.

Customers are most willing to leave feedback immediately after a positive experience.

That could be:

Right after finishing a project
After receiving an order
At the end of a restaurant visit
After solving a support issue

Those few minutes are when customers still remember exactly what impressed them.

Waiting even a few days dramatically reduces the likelihood of receiving thoughtful feedback.

Instead of making testimonials feel like another task, businesses should make them feel like a natural part of the customer experience.

Friction Is the Silent Conversion Killer

The second lesson surprised me even more.

Many businesses accidentally make leaving a testimonial harder than it needs to be.

Some ask customers to:

Create an account
Verify their email
Fill out long forms
Answer unnecessary questions
Upload multiple files

Every additional step creates another reason to abandon the process.

Most customers are happy to spend 30–60 seconds sharing their experience.

Very few are willing to spend five or ten minutes doing it.

Reducing friction isn't just good design—it directly affects how many testimonials you collect.

What Businesses Are Doing Today

While researching this space, I noticed that many businesses still rely on methods like:

WhatsApp messages
Email follow-ups
Google Forms
Manual spreadsheets
Social media screenshots

There's nothing inherently wrong with these approaches.

In fact, many businesses successfully collect valuable feedback this way.

The challenge is that everything quickly becomes scattered.

Reviews end up spread across different platforms, making them difficult to organize, search, or display consistently.

Eventually, many great testimonials disappear into old chats or inboxes, even though they could have become powerful social proof for future customers.

Mobile Changes Everything

Another lesson that stood out was how people actually leave reviews today.

Most customers aren't sitting at a desktop computer when they decide to leave feedback. They're on their phones—after receiving a delivery, finishing a meal, or completing a purchase.

That means the entire experience needs to be designed for mobile first.

If the page loads slowly, requires unnecessary typing, or doesn't work well on smaller screens, people simply close it.

A smooth mobile experience isn't a nice feature anymore—it's the expectation.

QR Codes Changed the Way Physical Businesses Collect Reviews

One interesting pattern I noticed while speaking with restaurant owners and local businesses was how difficult it was to ask for reviews at the right moment.

Sending a follow-up email hours later rarely worked.

Many businesses started experimenting with QR codes placed on tables, receipts, packaging, or checkout counters.

The idea is surprisingly simple.

The customer finishes their experience, scans the QR code, and leaves feedback while everything is still fresh in their mind.

There's no searching for links later or remembering to leave a review after getting home.

Sometimes reducing friction isn't about adding more technology—it's about asking at the right place and time.

Collecting Reviews Is Only Half the Job

One mistake I kept seeing was businesses focusing entirely on collecting testimonials while forgetting to actually use them.

A positive review hidden inside an email inbox has almost no impact on future customers.

Reviews become valuable when they're visible.

Displaying testimonials on a website, landing page, portfolio, or product page helps visitors answer one important question:

"Can I trust this business?"

People naturally look for reassurance before making a decision.

Seeing authentic customer experiences often provides that reassurance far better than any marketing headline ever could.

What I Believe Every Testimonial System Should Do

Whether you build your own process or use dedicated software, I think every testimonial workflow should follow a few simple principles.

First, make it effortless for customers to respond.

Second, ask while the experience is still fresh.

Third, keep everything organized in one place instead of spreading reviews across emails, chats, and documents.

Finally, make those testimonials easy to display wherever potential customers are making decisions.

The technology isn't the important part.

Creating a smooth experience for both businesses and customers is.

What Building Reviuly Reinforced

While building Reviuly, many of these observations became even clearer.

The conversations we had with business owners consistently pointed to the same problems:

Collecting reviews took too much manual effort.
Feedback was scattered across multiple platforms.
Great testimonials were rarely showcased effectively.
Customers were willing to leave reviews—as long as the process felt effortless.

Those conversations influenced many of the product decisions we made.

Rather than adding unnecessary complexity, we focused on reducing friction wherever possible.

Final Thoughts

Building a testimonial platform taught me something that applies far beyond reviews.

People generally want to support businesses they've had a good experience with.

The challenge isn't convincing them.

The challenge is making it incredibly easy to act on that intention before the moment passes.

Whether you're using Google Forms, a spreadsheet, or a dedicated testimonial platform, the principle remains the same:

Ask at the right time.

Keep the process simple.

And don't let valuable customer feedback disappear into forgotten inboxes.

If there's one lesson I'll continue applying while building Reviuly, it's this:

The easier you make it for customers to share their experience, the more likely they are to do it.