Drafting agents
Turn a trigger into a ready-to-send draft: emails, replies, summaries, posts.
Fetching
Accessible by default. Fast by default. Honest by default.
Open devtools on this site. It holds up.
AI automation studio
We build custom AI agents that take the repetitive, high-volume work off your team and plug into the tools you already run. Scoped honestly, live in weeks, and yours to keep.
Live in 2 to 3 weeks
A working system in your hands fast, not a quarter-long project.
Works with your stack
It plugs into the CRM, inbox, and chat you already run, so nothing has to be torn out.
Measurable impact
We agree on the number that matters first, then move it.
5.0 across 150+ reviewsFiverr Pro verified · senior studio in Dubai
Researches every inbound and outbound lead, pulls the context that matters, and drafts a first message in your voice. Your team approves and sends.
Trigger
New lead: ops lead at a 40-person logistics firm
Result
Researched brief + a drafted first-touch, ready in your outbox
We do not resell a template. Every system is shaped around one job your team actually does, then built to run in production and improve as you use it.
Turn a trigger into a ready-to-send draft: emails, replies, summaries, posts.
Gather and condense the context behind a lead, account, or decision.
Reconcile numbers across tools into one clear, written brief on a schedule.
Read inbound work, handle the routine, escalate the rest with context.
Answer questions over your data and flag what looks off, in your chat.
61%
more qualified meetings booked
A lead-research and drafting agent for a B2B SaaS team, measured over the first quarter live.
22h/wk
given back to the team
Reporting and follow-up automation for an agency, counted across three repetitive workflows.
3.4×
faster first response
A support triage agent drafting from existing docs, against the prior manual baseline.
| Capability | Off-the-shelf chatbot | No-code automation | CodingEagles build |
|---|---|---|---|
| Works with your full stack | Copy and paste | Shallow, breaks often | Built into your tools |
| Shaped to your workflow | Generic | Rigid recipes | Custom to the job |
| Handles real complexity | No | Simple steps only | Yes, with guardrails |
| You own the code | No | No, you rent it | Yours outright |
| Your data stays yours | Their servers | Their servers | Your accounts, on-prem option |
| Maintained and improved | Vendor roadmap | You maintain it | We do, then you can |
| Setup | Minutes, shallow | Days to weeks | 2 to 3 weeks, deep |
| Cost | ~$30 / seat / mo | Per-task fees | From $4,000 |
A focused single system starts around the figure above. Multi-agent setups are scoped per build. Model and API usage are billed at cost, with no markup.
01
Days 1 to 3
We map the one workflow worth automating first, the tools it touches, and the number we are moving. You leave with a written scope.
02
Days 3 to 10
We design the agent, wire the integrations against your real accounts, and put guardrails around what it can and cannot do.
03
Days 10 to 14
A working system you can use, running on your data, with a short recorded walkthrough so the team can pick it up.
04
Days 14 to 21
We harden it on real usage, document it, and hand over the code in your repo. Keep it in-house or keep us on a light retainer.
[06]
Data sovereignty
For regulated and privacy-sensitive teams, we can run the whole system inside your own cloud or on-premises, with open models where the work allows. Nothing is sent to a third party you have not approved. We sign an NDA before we see anything sensitive.
CodingEagles is a small senior team in Dubai building production software for founders across Europe, the US, and the Gulf. The same people who scope your system build it and stand behind it. We will tell you, kindly, if automation is the wrong answer for what you are trying to do.
I honestly was not sure it would work. It quietly does the part of my week I used to dread, and it has not dropped the ball once. It saved me from hiring another assistant.
A focused single-agent system starts around $4,000. Multi-agent setups are scoped per build after we understand the work. Model and API usage are billed at cost with no markup, and most teams recoup the build from the time it gives back within the first few months.
Most systems are live in two to three weeks. We scope in the first few days, ship a working first version by the end of week two, then harden it on real usage before handover.
Yes. The source goes into your repository from the start, the integrations run on your own accounts, and you own the system outright. There is no licence to keep paying and no lock-in to us.
Yes. We run on your accounts, sign an NDA before we see anything sensitive, and for regulated teams we can deploy the whole system inside your own cloud or on-premises so data never leaves your control.
Off-the-shelf chatbots cannot reach into your stack, and no-code recipes break on anything complex. A custom build connects to your real tools, handles the edge cases that matter, and is shaped to one job rather than to every job at once.
We design for it. Most systems draft for human approval rather than acting alone, run inside guardrails on what they can touch, and escalate anything they are unsure about with the full context attached.
That is the point. We build against your CRM, inbox, chat, and database directly, so the system fits into how your team already works instead of asking everyone to move somewhere new.
The same senior team that scopes it. We never hand work to a junior crew, and we run at most two builds in parallel so yours gets real attention from start to handover.
Tell us the task your team keeps redoing. On the first call we will tell you honestly whether a custom AI system is worth building, and what it would take.
Or email hi@codingeagles.dev. Reply within 24 hours.