AI-native development
Software 20× cheaper. Same quality.
Senior engineers steering AI agents: the speed of AI, with an architect, a security review and full QA behind every release. We build for you, or bring the flow to your team.
An illustration: the same product built three ways. The usual way releases in week 20 for $1.2M. Pure AI never becomes stable, and burns $153K of tokens by week 20. The Ampliative flow, senior engineers steering AI agents, releases in week 3 for $60K: 20 times cheaper, at the same quality.
An illustration for a mid-size product. Tokens at $15 per million.
01 Design
Design that is already code.
Our designer works with AI straight in HTML: as many interactive concepts as you like, clicked through by users on day one. The chosen one is then polished by hand, with you, to the level you want, and an engineer finishes it in less than a day. Nobody converts mockups from Figma, a step that takes days and that even AI agents struggle with.
The usual way
Mockups in 5 tools, rebuilt in code
Ampliative
Designed in HTML, finished in code
Our 4 days, up close
Day 1 · Concepts, with AI
Brief — Live concepts in HTML, as many as you like — Users click through and pick one
Days 2–3 · Polish, with you
The designer refines the chosen concept by hand — Round by round, to the level you want
Day 4 · Code
An engineer finishes it in under a day
- Research, FigJam: 2 days
- Wireframes, Figma: 3 days
- Visual design, Figma, Photoshop: 4 days
- Review, waiting for feedback: 2 days
- Revisions, hand-off, Figma, Zeplin, Jira: 3 days
- Rebuilt in code, developers, from the mockups: 4 days
- Design QA, pixel by pixel: 2 days
- from a brief to working screens
- 20 days → 4
- of live concepts in HTML, clicked through by real users
- Any number
- the design is already code: an engineer finishes it in under a day
- Nothing to convert
Day one: live concepts, as many as you like
02 Engineering
A chain of hand-offs, or one continuous flow.
The usual team passes work from role to role and tests it at the end. In the flow, an architect writes it with AI, a senior engineer reviews every change for security, and AI agents test each one as it is made.
The usual way
About 20 weeks, role by role
The Ampliative flow
About 3 weeks, all at once
Writes it all with AI · Architect
Reviews every change for security · Senior engineer
Tests every change, around the clock · QA agents
Tests by hand what the agents can’t · Manual QA
Work waiting between roles Bugs sent back to the developers
- Specs, Project manager: 2 weeks
- A week of meetings: 1 week
- Architecture, Architects: 2 weeks
- Hand-off: 1 week
- Build, Developers: 7 weeks
- Waits for QA: 1 week
- Testing, QA engineers: 2 weeks
- Bug fixes, Developers: 2 weeks
- Release, DevOps: 2 weeks
03 Meetings
No stand-ups. No syncs. No retros.
A big team spends about a day a week keeping everyone in sync. Ours needs no syncing: people and agents work from one source of truth, so that day goes into the product.
The usual way
A week of keeping everyone in sync
A stand-up every day, and through the week planning, a weekly sync, backlog refinement, a status call, a demo and a retro: 8 hours of meetings for each person.
8 ha week in meetings, per person
Where the truth lives
- Jira
- Confluence
- Slack threads
- Meeting notes
- People's heads
Spread this thin, it takes meetings to piece it together.
The Ampliative flow
A week of building
No meetings: the whole week goes into the product.
0 ha week in meetings to stay in sync
Where the truth lives
One source of truth
The spec, every decision, the code, its tests and where it all stands, on one TaskDeck board.
- writes Architect, with AI
- reviews Senior engineer
- tests against QA agents
- checks Manual QA
- follows You, from the board or your AI chat
- per person, back in the product instead of meetings
- A day a week
- no dailies, weeklies, plannings or retros to keep up
- No rituals
- for every decision, change and test result, open to you
- One place
04 Pure AI
Why not let AI do it all?
Pure AI looks fast in the first week. Then the codebase grows that nobody understands, every fix breaks something else, the tokens keep burning, and nobody has read the code that takes your customers’ payments.
Pure AI: Never stable
Ampliative: Released in week 3
Pure AI: $153K in tokens
Ampliative: $60K, all in
Tokens at $15 per million: 510M a week.
Pure AI would have shipped this.
A refund endpoint, written by AI in seconds. It works in every test you would think to run. It also lets anyone who is signed in refund any order, for any amount they like. In payments, personal data, logins and access rights, a hole like that is not a bug: it is a breach.
In our flow, a senior engineer reads every change like this one before it ships. Pure AI ships it unread.
export async function refund(req: Request, res: Response) { const order = await db.orders.find(req.params.id); await payments.refund(order.paymentId, req.body.amount);Senior engineer · security review
Anyone signed in can refund any order, for whatever amount they send. Check the order is theirs, and refund what they paid.
if (order?.customerId !== req.user.id) return res.status(404).end(); await payments.refund(order.paymentId, order.total); res.json({ ok: true });}05 Your team
Your team already uses AI? Its specialists still wait for each other.
AI makes a React developer faster at React, and at nothing else: they still ask the backend developer for every endpoint and the DevOps engineer for every deploy, and wait. Our engineers are senior and full-stack, from the screen to the servers. Before AI they built and ran whole products on their own; with AI, each does the work of a team, and decides on the spot, with no core knowledge missing.
Work Waiting for an answer Waiting for a deploy Waiting for testing Tested by agents as it’s written Done with AI
One feature, in working hours. An illustration.
AI made the work faster. It didn’t touch the waiting.
Your specialists write their part faster now, then wait for an answer, a deploy and a test run, as before. Our flow takes the waiting out: one senior engineer holds the whole feature, AI writes every layer of it, the QA agents test it as it is written, and the security review works alongside instead of in a queue.
Like Apple’s M1
The M1 got its speed by putting the processor, the graphics and the memory into one package, with one pool of memory they all share, so data stopped travelling between separate parts. Our engineers work the same way: the screen, the API, the database, the pipeline and the tests sit in one head, with AI doing the typing. Nothing waits for a hand-off.
Before AI, the market made specialists. Ours are the other kind.
For years the industry hired and trained by layer: the screen, the server, the data, the pipeline, the tests and security, each a job of its own. Senior engineers who cover all of it were never what it was preparing, and they are exactly the ones AI multiplies.
- people in the US whose job is one layer: testing, databases, systems administration or security, beside 1.69M software developers
- 830K
- BLS, May 2025
- US software job postings ask for a senior engineer, and fewer than 1 in 20 are for juniors
- 7 in 10
- Indeed Hiring Lab, July 2026
- full-stack’s place among the roles recruiters worldwide expect to struggle to fill in 2026, after AI
- #2
- CoderPad State of Tech Hiring 2026
Specialists, each with AI
Discount codes at checkout
Monday
Frontend (React) · 10:12
Need a discount field in the checkout API. Can you add it?
Backend · 16:40
It’s in my queue. Tomorrow.
Tuesday
Backend · 11:05
Done: discountCode, and a 422 when it has expired.
Frontend (React) · 15:30
Wired up. Can it go to staging?
DevOps · 17:50
Staging deploys go out tomorrow at 10.
Wednesday
QA · 11:15
An expired code shows a blank error.
Backend · 14:20
My side is fixed. The message is frontend’s.
Thursday
Frontend (React) · 10:05
Fixed. Back to QA after the next deploy.
Thursday, waiting on a deploy: three days for one feature, about six hours of it work.
One senior full-stack engineer, with AI
Discount codes at checkout
Monday
09:30
Shapes the API and the form together
10:05
Builds the schema, the API and the form with AI
11:20
QA agents test both sides, expired codes included
11:45
A senior engineer reviews it for security
12:00
Deploys it through their own pipeline: live
Monday, before lunch: two and a half hours from the database to production, with nobody to wait for.
- for one feature, from the screen to production
- 3 days → 2½ hours
- between Frontend, Backend, DevOps, QA and Security
- 10 hand-offs → 0
- a senior full-stack engineer with AI, against specialists with AI
- About 10×
0/6Tick what sounds familiar.
We measure your team’s speed with AI and map its flow: where work waits, and who waits for whom. Then we show you the same work done our way.
Measure my teamWe fix all three: the cost of the usual way, the risk of pure AI, and the hand-offs AI leaves in place.
Already have a team? We bring the flow to it: agents for code and testing, senior review, and one source of truth instead of daily syncs.
06 Working with us
Every task on one TaskDeck board. Add, answer and accept from your AI chat.
We run every project on a TaskDeck board you can open at any time. When we need you, the card moves to one of your columns; you add tasks, answer questions and accept work from your own AI chat. A call or a demo is there whenever you want one, but you can sync with us at any time with just cards.
An example: a client asks their own AI chat to add a bug to the Ampliative board on TaskDeck. The card goes to In progress, then to Needs your input with a question, which the client answers from the chat. It goes back to work, passes review and 38 tests, and waits in Ready for you until the client tries it and accepts it from the chat. Then it moves to Done.
- From backlog to done
- Every task in plain sight: planned, being built, in review or shipped, and each finished card with its tests, its review and links to the change.
- Your turn, clearly marked
- Two columns are yours. Needs your input holds the questions only you can answer; Ready for you holds work to try and accept. Everything else is on us.
- All from your AI chat
- Add a task, answer a question or accept work without a call, through TaskDeck’s connector. Ideas wait as proposals until we plan them in.
- A call when you want one
- Ask for a call or a demo and we set one up. You just never need one to stay in sync: the cards already say where everything stands.
07 What we build
AI that runs in production, and the software around it
Each capability works inside real operations, with quality thresholds agreed up front and a person who can step in.
Agents and assistants
Work inside your CRM, ERP and helpdesk: draft replies, route requests, reconcile records, escalate.
Learn moreDocument processing
Reads invoices, waybills and contracts, checks them, and files the data where it belongs.
Learn moreComputer vision
Finds defects, counts and monitors on live camera streams, at the full speed of the line.
Learn moreForecasting
Predicts demand, load and failures from your own operational data.
Learn moreSearch across your knowledge
Answers only from approved documents, with the source attached to every reply.
Learn moreSafeguards and evaluation
Quality thresholds, audit trails and a handover to people keep the AI accountable.
Learn moreAnd the software around it
MVPs, SaaS products, business systems, mobile apps, interface design, integrations and support.
All services08 Examples
What it looks like in practice
The scope and timeline are set after a short review of your process and systems.
Document processing for a logistics operator
Waybills and invoices arriving by email and from scanners are read, checked and loaded into the ERP.
Intake
documents from email and scanners
Review
an operator settles the mismatches
ERP
data loaded once it passes the checks
- E-commerceSupport assistant for an online storeanswers drawn only from approved store content
- ManufacturingQuality inspection at a packaging plantevery unit inspected on the line
- RetailDemand forecasting for a retail chaina forecast for each product in each store
- Subscription serviceChurn prediction for a subscription servicea ranked list for the retention team
09 Industries
Where our systems run
- 01ManufacturingInspection on the line, equipment monitoring and production reporting.
- 02Retail and e-commerceCustomer support automation, orders, and stock kept in sync.
- 03LogisticsDocument flows, dispatching, shipment tracking and ERP integration.
- 04FinanceScoring, fraud detection, reporting and products for customers.
10 How we work
From the first call to support
Step 01
Audit
We study the process, data and systems, and agree what success will look like.
Step 02
Prototype
A technical prototype proves the approach on your real data in three to six weeks.
Step 03
Development
Changes ship as they pass review and tests, and you follow them live on TaskDeck.
Step 04
Integration
The system joins your infrastructure, next to everything that already works.
Step 05
Support
Three months of warranty, then a support and development plan.
- Audit before code
- We map the process and agree measurable outcomes before development starts.
- No status meetings
- Every decision, change and test result lives on a TaskDeck board you can open any time.
- Fixed terms
- Scope, schedule and payments are set in the contract for each milestone.
- Support after launch
- Three months of warranty, then a support plan you agree on.
11 Questions
Before you ask
Anything else, bring it to the first call. It costs nothing and commits you to nothing.
How much does a project cost?
After a short audit we send a preliminary assessment with the scope, timeline and budget. The final price is fixed for each milestone in the contract.
Can you work with the systems we already have?
Yes, that is the default. We review your systems first and build next to them, replacing only what gets in the way.
What if our requirements change along the way?
Change is cheap when every decision lives in one place. We update the source of truth, the agents and the tests follow it, and we agree any effect on the schedule and budget before going on.
Do you hold stand-ups and status meetings?
No. Everyone, agents included, works from one source of truth, a TaskDeck board with the plan, the decisions and every change with its test results. You can open it, or ask your AI chat about it, at any time, so nobody needs a meeting to find out where things stand. When you do want a call or a demo, ask, and we set one up.
Is AI-written code safe to handle payments and personal data?
Not when nobody reads it, and that is the trouble with pure AI. In our flow an architect designs how money, data and access move through the product, a senior engineer reviews every change for security before it ships, and QA agents test it around the clock. Every review and test is on the TaskDeck card.
How do I give you a task?
Write it on our TaskDeck board, or ask your own AI chat to add it through TaskDeck’s connector. No call needed: we pick it up from there, and you can follow it to release.
Will you sign an NDA?
Yes, before you share any materials.
12 Contact
Get a preliminary assessment
Describe the task. Once we have read it, we will suggest a call and the materials to bring.
- An NDA before you share anything
- A free assessment, with no obligation
- A reply within one business day
Or write to hello@ampliative.ai