Our work
Seven products built using AgentCTO. Open them and see.
These are live products, not demos. We are not showing customer quotes we do not have. We would rather you click.
Minimum 100 user stories a month, $500 paid in full before work begins. No seats to buy, no hiring, no notice periods.
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Seven live products.
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Voice, calls, SEO, social, email, support, legal.
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Each has a public website.
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Same process you would get.
Seven products built using AgentCTO. Open them and see.
These are live products, not demos. Each one has its own website you can open right now.
60db.ai gives your product a voice, from text to speech to full agents. 
Qcall.ai answers every inbound call and runs outbound campaigns. 
Vrid.ai publishes SEO articles every month in your brand voice. 
Autoposting.ai schedules and publishes across X, LinkedIn, Instagram, Threads and YouTube. 
Firstsales.io sends cold email at scale, then follows up for you. 
Communicate.so answers customers from your help content. 
Niyam.ai researches Indian case law and drafts contracts.
No logo wall yet. Check the work instead.
We are onboarding our founding cohort. Here is what you can check on your first request.
Read the PRD
Does it catch the edge cases your own team would have missed?
Run the tests
They arrive in the pull request. Run them on your own machine.
Review the diff
If it would not pass review, it has not earned the merge.
See the work before you trust the promise
Most software services ask you to take their word for it.
They show you a deck, a few logos and a promise about the future. We would rather you open something and look.
Seven products were built using AgentCTO.
Each one is live today, and each has its own website. Open each product's website and read what it says it does. You do not need to book a call first.
Before you read on, be clear about what this page is.
It is a list of working products and an honest account of what we can prove. It is not a wall of praise. We do not have customer quotes yet, so we do not show any.
Looking at live work changes the question you ask.
Instead of wondering whether a team can ship, you ask whether this product does its job well. That is a question you can answer in a few minutes, and it is a better question to start with.
If you are deciding whether to send us a feature, this page can show you the kind of output to expect. It also explains what a person checked on each product, and how you can run the same checks on your own first request.
The seven products, summarized by us.
What a person checked before each product was called done.
A short test you can run on any product in about half an hour.
What this proof does not show, and what to ask us about it.
Seven live products, seven different jobs
The seven products do very different things.
One gives a product a voice. Another answers phone calls. Another writes search-friendly articles every month. Others handle social posts, cold email, customer support answers and legal research on Indian case law. The spread matters to you.
A process that built only one kind of product would tell you little about yours.
A voice product, a calls product and a legal research tool each stress different parts of the work. When all three come out working under the same process, that tells you more than one polished example ever could.
What the seven share is how they were built.
Each was built using AgentCTO, and each had its manual QA done by a person. Those are the two facts we stand behind on this page. Everything else is for you to judge when you open the product.
The products are live.
They are not demos, and they are not screenshots in a folder. They sit on the open web under their own names, so you can see what a visitor sees and not only what we chose to show you.
Why does this help you?
A live product gives you three things a slide cannot. You can see how the product behaves when you use it. You can judge whether it looks finished. And you can follow one real task from start to end, which is the same kind of test your own users will run.
See the same process at work across very different kinds of product.
Judge the finish of each product yourself, in a few minutes.
Follow one real task from start to end, with no sales call.
Find your kind of work on the list, or somewhere close to it.
Seven products make a fairer test than one showcase
- It would be easy to show one standout product and let it do all the talking. We have chosen not to. One showcase tells you the process can produce one excellent result. It does not tell you how the process handles an ordinary week.
- Seven products give you a spread. Some are narrow tools that do one job. Some are broader. They sit in different categories, and they serve different users. If the process only worked for one kind of product, the spread would show it quickly. A process that holds across the spread is a better sign than a single success.
- There is a second reason. A showcase invites you to set the best of our work against the average of your own. Seven live products are closer to an ordinary sample. You can see how the work looks across a range, including the parts that are less polished. We think that is the honest way to show it.
- We also chose not to show numbers we do not have. There are no percentages on this page, no benchmark claims and no traffic figures for the products. If we had them and they were strong, we would show them. Without them, we would rather show you the products and let you see for yourself.
- What would a stronger sample look like? More products, each with published results and public customer names. We do not have that yet, and we say so. The founding work is still small, and the proof will grow as it does. For now, the seven products are what we can stand behind.
- If you want to know how the seven were chosen for this page, ask a founder. We will tell you what we included, what we left out and why.
What each product does, in our summary
The lines below are our own summaries.
Set them beside each product's website and judge them for yourself.
Some of these lines are short on purpose.
A single line cannot carry the detail of a product, and we would rather not pad it. If a line leaves you with a question, the product's own website is the place to start. If the answer is still unclear after that, ask us. We would rather you asked before you relied on a product for a task than found out afterwards.
Read each line as a job, not as a list of features.
A job has an end point. A post is either published or it is not. A call is either answered or it is not. An article is either live or still sitting in a draft. When you look at a product, start with the end point and ask whether the product gets there without someone standing over it.
Some jobs have a clear finish line.
Others are harder to judge. An SEO article is good or it is not, and that depends on your brand voice and your readers. For that kind of product, read three articles from start to finish. Then ask yourself whether you would publish them under your own name.
The legal research product asks a different question.
You want to know whether the research points at real sources, and whether a draft contract says what it should say. Any contract drafted that way should still go past a qualified lawyer before anyone signs it. The product is there to speed up that review, not to skip it.
Communicate.so answers customers from help content, so its job is only as good as the help content behind it. If you try it on your own help pages, you learn quickly whether the answers match what your customers need. That is a fair test, and you can run it without any commitment from us.
Your first user story works the same way.
Read the PRD as you would read one of these products. Does it name the finish line? Does it say what done looks like, in terms a person can check? If it does, that is a good sign. If it does not, tell us, and we will fix it before you approve it.
60db.ai gives your product a voice, from text to speech to full agents.
Qcall.ai answers every inbound call and runs outbound campaigns.
Vrid.ai publishes SEO articles every month in your brand voice.
Autoposting.ai schedules and publishes across X, LinkedIn, Instagram, Threads and YouTube.
Firstsales.io sends cold email at scale, then follows up for you.
Communicate.so answers customers from your help content.
Niyam.ai researches Indian case law and drafts contracts.
A thirty-minute test you can run on any product
You can run a short check on any product on this page, including the ones that do not look like your work. It takes about thirty minutes. Use the same method on our first pull request, so the checks match.
Start with the first screen.
Ask whether a stranger would know what the product does within a few seconds. A product that cannot say its job in one line may have a clarity problem, and that problem often shows up later as confusion for the people using it.
Next, read what the website says the product does.
Do not skip steps to get to the result faster. Real users do not skip steps. Note every point where you hesitate, because each hesitation is a place a real user might give up. Some products need a sign-up or a paid plan for a real task.
Then look at the edges.
Try an empty input, a very long name or a value that makes no sense. Good software handles these without drama. You do not need a test suite to notice an error message that says nothing useful or a screen that goes blank.
Look for what is missing too.
A product that never shows a limit, an error or a clear next step may not have been tested where it counts. The absence is information as well. Ask yourself what the product would do if something went wrong, and whether the page tells you.
Finally, write three sentences.
Say what worked, what did not, and whether you would use the product. If you can write those three sentences without a sales call, you have judged the product yourself. Then do the same check on your first pull request, using the test steps your own team already knows.
A person checked every product before it was called done
Every product on this page had its manual QA done by a human.
A person used the product, clicked through it and checked it against what it was meant to do. That is the one proof point this page claims.
Manual checks catch a different kind of problem from automated tests.
Tests tell you that the code does what its author expected it to do. A person notices when a flow feels wrong, when an error message makes no sense, or when a result looks correct but is not. Both kinds of check matter, and we run both on our own work.
We are careful with this claim, and we want you to be careful with it too.
It means a person checked each product before it was called done. It does not mean each product is perfect. It does not mean every user is happy. Those are separate claims, and we are not making them here.
You will not find customer quotes on this page.
We do not have any to show yet. Showing invented praise would make the rest of this page worthless, because you could not tell what was true. So we leave it out, and we say so.
Why does the human check matter to you?
Your team will also check our work, and their review is the real gate. A person on our side means the first thing your team sees has already been checked by a human, not only by a script. That saves your reviewers time, because they start from a cleaner place.
Think of it this way.
The live products are the outcome you can see. The manual check is the habit behind that outcome. If you are judging any supplier, look for the habit as well as the result. A habit is what keeps the next product from being worse than the last one.
There is one more thing to look for.
Ask whether the people behind a product will talk about it plainly, including what it does not do. Openness about limits is a better sign than a long list of strengths. We try to write this page that way, and we would expect the same from any supplier you consider.
A live product beats a promise you cannot test
When you look for a way to clear a backlog, you usually meet three kinds of offer.
There is the hire, the agency and the coding tool. Each one makes a different promise about what you will get and when.
A hire promises a person.
That person then needs time to learn your codebase, and during that time the backlog keeps growing. Our side-by-side page covers the money in detail. Here the question is simpler: what can you check before you commit?
An agency usually shows you a portfolio and a proposal.
A proposal is a plan. A portfolio tells you what was built for someone else, under someone else's conditions. Both are worth reading, but neither shows you how the work will look in your repository.
A coding tool shows you a demo.
A demo shows that the tool can produce code. It does not show that the code will pass your review, match your conventions or arrive with tests attached. The hard part of shipping was never the first draft.
What we put in front of you is different.
You see live products on the open web, each with its own website. For your own work, you get a PRD to read, a pull request to run and a diff to review. Each of those can be checked by your team before anything is merged.
The honest limit is this.
A live product shows that the process reached the end at least once. It does not show that the process fits your repository, your team or your standards. That is why your first request is the real test, and why we want you to run it rather than take our word for it.
Know what this proof does not show
The products on this page show that the process produced working software. They do not show how agents would read your code, which conventions your team relies on, or how your reviewers will feel about the output. Those things are specific to your repository. That is why we ask you to judge the first PRD and the first pull request, rather than the seven products.
If your codebase is old, unusual or badly documented, the first request will show you how well we understood it. We say that openly, because fit matters more to us than the sale. A request that does not suit us is better turned down early than delivered badly.
We cannot show customer quotes yet. There are no quotes, no customer logos and no case study numbers on this page. If we invented them, you would be right to walk away. We would rather you judge us on what you can check today than on praise you cannot verify.
Did agents write these products, and how much?
They were built using AgentCTO. We do not publish a breakdown of the agent work and the human work for each product on this page. If you want to know how one of them was put together, ask a founder directly and ask about that one product.
Can I see the code for these products?
This page does not show their code, and it does not link to it. Do not assume you can see it. Ask a founder before you rely on that.
Is range the same as size?
No. We are not claiming these are large products. Some do one narrow job well. We show range because range is what tells you the process is not built for a single case. Size is a different question, and this page does not answer it.
Why trust a small company with this?
Fair question. AgentCTO is a service by TinyCheque, and we are early. We will not hide that behind a large logo wall. We also cannot promise that any product on this page will stay live for ever. Products change over time. If that matters to your decision, ask us what we know about a given product before you rely on it. What we can offer is a named person who tracks your request, and founders who answer email. Judge that the way you would judge any new supplier: by what they do on your first request, in writing, before you commit to more.
Do you hold certifications?
This page does not claim any. If your procurement process needs a certificate or a signed agreement, ask us in writing before you pay. We will answer what we can, and we will tell you plainly what we cannot yet show.
How the proof carries over to your first story
The checks you can run on these products have a match in your own first story.
None of them needs special knowledge, and each one leaves a record your team can read.
Read the PRD with one question in mind:
who will open that story's screen first, and what will they try to do? A story that answers that in one sentence is easier to test than one that does not.
Read the pull request the way you would read a live product's result.
The tests should be there, they should pass, and the code should look like the rest of your repository. A diff that reads as foreign to your team is worth questioning, even when it works.
Then look for a person's check.
Manual QA on your story should look like the checks on these products: a person clicks through the feature against the criteria and writes down what does not make sense. Ask us whether you will receive a record of the manual check.
Start with your queue, not with our product list
- If one of the seven looks like the kind of work your queue holds, start there. Read its website. Run the thirty-minute check. Then ask yourself whether the same level of finish would help your product.
- If none of them look like your work, that is fine. Your repository is different, and your backlog is your own. Tell us about the feature you keep postponing, and we will read it with you and tell you plainly whether it fits.
- When you are ready, use the button on this page to send your first user story. Include the feature, your stack and where the code lives. We will send a PRD the same business day, listing each story and its cost before any work begins.
- You then read the PRD and approve it if it is right. We aim to raise the pull request within three business days of your approval. Your team reviews it and decides what merges. That review, on your own code, is the proof that matters most for your product. Keep a note of anything your reviewers would change, because that list tells you more than our summary does. That note is the best record of how the first request went.
Questions, answered plainly.
Can’t find yours? Write to a founder.
1How is this different from Claude Code or Codex?
Those are tools, and they need an owner. Someone on your team still writes the PRD, steers the agent, makes design calls and runs QA. We do all of that and hand you a tested pull request.
2Is this right for us?
It fits if you have a repo, a backlog, and someone who can review pull requests. It does not fit if nobody on your side can review code, because your team makes the final call on every merge.
3What if I need help along the way?
You get a named account manager. That is a real person who tracks every request through to the merge, at zero extra cost. Founders are one email away too.
Send the feature your roadmap has carried for a quarter.
We open the PRD the same business day. Three business days after you approve it, a pull request is in your repo. Judge us on the merge.
Minimum 100 user stories a month, $500 prepaid. No mail app? Write to udit@tinycheque.com.