AI agent development company: the agent prepares, a person decides
Boffin Coders is an AI agent development company that builds agents to do the groundwork inside the tools you already use. The agent reads the inbox, looks things up and drafts the reply, the quote or the update. Anything that sends, pays, deletes or publishes sits behind a step a person approves, and that line is enforced in code, not in a prompt.
- The agent prepares, a person sends
- First working agent in 3-6 weeks
- Runs against your existing tools
An agent that can send is an agent that can send the wrong thing
Every agent we build draws this line in code, not in a prompt. The model prepares work, and the irreversible actions sit behind a function it cannot call. That is the difference between an agent you can leave running and a demo.
The agent may
- Read the inbox
- Classify and route
- Draft the reply
- Summarise the thread
- Look data up
- Prepare the change
A person must
- Send it
- Pay it
- Delete it
- Publish it
- Sign it
- Deploy it
The line between the two is enforced in code, not in the prompt
Our own outreach tool works exactly this way: the model drafts into an editor, a rulebook in code checks every draft against nine blocking rules, and the send happens in a queue worker the model cannot reach. The write-up, including what it refuses and why. To have agents built this way inside your own team, hire AI engineers in India.
The agent we run on our own sales, rule by rule
The boundary above is not a diagram we drew for this page. It is how the tool we win our own work with is built, and these are its settings.
Our own sales outreach, drafted by a model, sent by a person
Every cold email we send starts as a model’s draft. The model returns text into an editor and is given no send tool, no credential and no callback. A rulebook in code then checks the draft: nine findings block the send outright, fourteen more are warnings that a person can only dismiss by typing a reason.
When the person presses send, the draft goes to a queue worker the model cannot reach, which checks the suppression list, the send window and the daily limit again, seconds before the mail server is called. If the model service is down, the editor opens with a plain template instead. The AI can never block a send, and it can never cause one.
- Model output
- Text, into an editor
- Send tool given to the model
- None
- Rules that block
- 9
- Rules that warn
- 14
- Override
- A written reason, 10 characters or more
- Checked again before sending
- Suppression list, send window, daily limit
Every rule is quoted from the running code in the write-up linked above.
What is running, and how we build the rest
The stage of our agent work, stated plainly. The agents we run for ourselves are the pattern we bring into your tools, and the architecture behind client work under NDA is something we walk you through on a call.
The outreach agent
Drafts our own sales emails every working day, with the send kept for a person and every draft checked against rules in code. It is the pattern every agent on this page follows.
The same rule, in IELTS Builder
Not an agent, but the same line: a model turns each spoken answer into text and a teacher approves every grade before a student sees it. It handled 4,584 submissions in a thirty-day window.
Agents inside your own tools
An agent works inside your inbox, CRM or shared drive with the narrowest access that does the job, and several agents can hand work to each other where a workflow needs it. A person approves anything that cannot be undone, on every build, for every client. Much of our client work is under NDA, so we show you the architecture on the first call.
Three jobs an agent can take on for a small team
Each job is split into small agents, and each one stops at a step a person approves. Pick a job to see them.
Follow-up drafter
Finds enquiries with no reply after a set number of days and drafts a follow-up from the thread, in your tone.
A person reads, edits and sends each one.
Call notes to the CRM
Turns a call transcript into a short summary and next steps, ready to go on the right CRM record.
A person saves it to the record.
Prospect brief
Pulls what your CRM and inbox already know about a lead into one page before the call.
Nothing is sent. It is for the caller only.
Suppression check
Checks every draft against your do-not-contact list, send window and daily limit before it can reach the queue.
A warning is dismissed only with a written reason.
Sorter
Labels incoming email and web forms by type and routes each one to the right person with a one-line summary.
A person moves anything it routed wrongly, and the rule is fixed.
Reply drafter
Drafts answers to routine questions from your help pages and past replies.
A person edits and sends.
Attachment reader
Reads invoices and forms attached to email and fills the fields in a sheet, flagging anything it is unsure of.
A person checks the flags and posts to accounts.
Morning summary
One email each morning: what came in, what is waiting on whom, and what is overdue.
A person decides what to do about it.
Quote drafter
Builds a first-draft quote from the enquiry, your price list and similar past quotes.
A person checks the figures and sends the quote.
Missing-detail check
Spots what the enquiry does not say, such as sizes, dates or the address, and drafts the question back.
A person sends the question.
Price-list guard
Flags any line below your floor price or priced from an old rate card.
A person accepts or corrects each flag.
Open-quote nudge
Drafts a short follow-up on quotes with no answer after a week.
A person sends it or drops it.
How we build custom AI agents for business
Custom AI agents for business are built one workflow at a time, read-only first, with the irreversible steps locked before anything touches a live system.
Map one workflow
We sit with the person who does the job and write down every step, every tool and every decision. The steps that cannot be undone, such as sending, paying or deleting, are marked before any code is written.
- The workflow, written down
- Irreversible steps marked
- A fixed price
Connect read-only first
The agent reads your inbox, CRM or shared drive with the narrowest access that works, and its drafts go to a review list. Nothing is written back to a live system at this stage.
- Read-only access
- Drafts in a review list
- Tested on your own data
Lock the irreversible steps
Sending, paying, deleting and publishing sit in functions the model cannot call. Rules in code check each draft, and a person approves on a screen or in the inbox they already use.
- Actions out of the model’s reach
- Rules in code
- An approval step
Run it beside the person
For the first weeks the agent works next to the person who used to do the job, who approves or corrects each draft. We fix the rules from their corrections, then hand over the code, the logs and the keys.
- Corrections fed back
- Every run logged
- Code and keys in your name
Published, not quoted on the call
In USD. Hourly and monthly rates move with the stack and the seniority, from a junior on routine work to a senior on complex builds. Nothing is quoted outside them, and if the number does not work for you, you have saved yourself a meeting.
- An agent build starts at
- $4,000
- Scoped once, with the lines shown.
- Short pieces of work
- $25-40 an hour
- By seniority and the work.
- A developer by the month
- From $4,000 a month
- Month to month, a month’s notice either way.
- Agency sprint
- $2,000 per two-week sprint
- Under your brand, invoiced after you see the work.
What buyers ask an AI agent development company
What an agent may do alone, what stops it, how long it takes, where the data goes and when a plain automation tool is enough.
Read, look up, sort and draft. An agent can read your inbox, find the customer in your CRM, work out what they are asking and write the reply, the quote or the update. It cannot send, pay, delete, publish or sign anything, because those actions sit in code it cannot call. That covers most of the hours in a routine job while leaving every decision that cannot be undone with a person.
Not answered here?
Agents are one of four AI jobs
If the job is answering questions from your documents rather than acting in your tools, that is RAG on your own server.
If the questions come from customers on your website, you want a website chatbot on your own content, and the assistant on this site is one.
Not sure where your chore fits? The AI automation page sorts the four jobs and shows the three systems we run.
Work we’ve delivered, and what we’ve written
Bring the task your team repeats to a 20-minute call
Tell us the job, the tools it runs in and the step that must never happen by accident. We will say whether an agent can take the groundwork, what it would cost and what a person keeps.