Memory in use, Linux side
2x lower
How this was measured
Read from the memory counters before and after the optimisation pass.
The birth of a global intelligence system · our own system, measured on itself
60.6 engineer-years of output in 5 months.
Re-measured 9 October 2026: 230,797 lines of production code across 12 repositories, 60.6 engineer-years (MODELLED, Basic COCOMO). Live pace: about 2.34 engineer-years a day over the last 7 days (MODELLED, four core repositories, ledger 2026-10-09).
In one day the cost of a matched job fell from US$0.97 to US$0.12 (25 jobs, same tasks), and the main engine carries 6,314 test cases. We did not buy a bigger machine. We changed the system.
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Answer a few plain questions and get pointed to the page that fits your business. It runs in your browser, nothing is sent anywhere, and a no is fine.
US$0.97 to US$0.12 per job · recorded 8 October 2026
The machine carries the complexity.
You keep the judgement.
We did not buy a bigger machine. We found the waste, turned each lesson into code, and ran it again. Below is the proof, with the source of every number one tap away.
242 domains checked in the last 30 days
You know the work that eats your week. Missed enquiries. Quotes nobody follows up on. Compliance risk you cannot see until it costs you. I run the same system on my own business first, I show you what it did, and then I build yours, privacy-compliant by design. Your team stays. They get their hours back.
No cost · No obligation
Every finding is verifiable. See the actual quality of work you would get, before you pay a cent →
THE COST CURVE
We did not buy a bigger machine. We changed the system.
The same budget now does 8.4 times the work.
8.4x lower
Think of a car that suddenly goes many times further on the same tank. Same tank, same road, same driver, and the same tests checking the work.
Windows VM memory
1.8x lower
How this was measured
Process memory counter, megabytes divided by 1024.
Windows memory free
4.1x higher
How this was measured
Memory counter, megabytes divided by 1024.
Scheduled work per day
1.3x lower
How this was measured
Sum of job run time over a 24 hour window.
Worker jobs finished per hour
1.4x higher
How this was measured
Finished jobs in the ledger over 24 hours, divided by 24.
Tokens a worker reads before its first action
7.4x lower
How this was measured
Median across worker sessions at start.
State snapshot, time per run
72.3x lower
How this was measured
Run record average before, a timed run after. The secret check now scans only files that could be committed.
Cloud mirror, time per run
161x lower
How this was measured
Before: 30 to 45 minutes a run (midpoint shown, 37.5 minutes). After: 14 seconds, incremental with a daily full pass.
Progress ping, time per run
3,171x lower
How this was measured
Ping re-ran a test suite that always timed out. The result is now cached until the code changes.
Repository bundle, time per run
14.2x lower
How this was measured
One bundle per repository keyed on content, instead of re-bundling about 12 worktrees.
Main codebase test suite
1.7x lower
How this was measured
Wall-clock seconds for the full suite, before and after.
Kernel repository size
6.7x lower
How this was measured
Size of the repository directory before and after history and run-state cleanup.
Daily spend ceiling (a model)
3.6x lower
How this was measured
The same measured token counts repriced under five layers of change. The last layer needs a decision not yet taken. A scenario, not a forecast.
Every bar is drawn from one data file generated from our own measurements. No figure on this page is typed by hand.
THE LEARNING LOOP
Every turn of the loop leaves a receipt.
Work
A job runs and leaves a record.
RECEIPT
1,451 jobs
Worker jobs finished in the last 24 hours (job ledger)
- Work: A job runs and leaves a record. Receipt: 1,451 jobs, MEASURED.
- Measure: We count what it cost and how long it took. Receipt: 3 min, MEASURED.
- Find waste: We look for the part that did not need to happen. Receipt: 224 s to 3.1 s, MEASURED.
- Turn the lesson into code: A fix becomes a test so the mistake cannot return quietly. Receipt: 124 s, MEASURED.
- Re-run: The same job runs again on the improved system. Receipt: US$0.973 to US$0.116, MEASURED.
- Lower the cost: The new cost is measured against the old one. Receipt: US$0.973 to US$0.116, MEASURED.
- More work: The saving buys more jobs, and the loop turns again. Receipt: 1,451 jobs, MEASURED.
THE PROOF WALL
Every number is a star. Open one to see what it is and where it came from.
Tap a label to filter. A label with a zero has nothing to show yet, and we leave it that way.
MEASURED. Counted or timed on our own system, on the date shown.
Source. Worker fleet job ledger
Date. 2026-10-09
Method. 251 finished
MEASURED. Counted or timed on our own system, on the date shown.
Source. Worker fleet job ledger
Date. 2026-10-09
Method. Read from the source on the date shown.
MEASURED. Counted or timed on our own system, on the date shown.
Source. Worker fleet job ledger
Date. 2026-10-09
Method. Read from the source on the date shown.
MEASURED. Counted or timed on our own system, on the date shown.
Source. Token usage meter and the job ledger
Date. 2026-10-09
Method. orchestrator spend dominates; US$/job is total spend / fleet jobs, an upper bound
MEASURED. Counted or timed on our own system, on the date shown.
Source. Token usage meter and the job ledger
Date. 2026-10-09
Method. orchestrator spend dominates; US$/job is total spend / fleet jobs, an upper bound
MEASURED. Counted or timed on our own system, on the date shown.
Source. Session start audit (tokens read before the first action)
Date. 2026-10-09
Method. Read from the source on the date shown.
MEASURED. Counted or timed on our own system, on the date shown.
Source. Linux memory counters on the build machine
Date. 2026-10-08
Method. Read from the source on the date shown.
MEASURED. Counted or timed on our own system, on the date shown.
Source. Windows process memory counter
Date. 2026-10-08
Method. Read from the source on the date shown.
MEASURED. Counted or timed on our own system, on the date shown.
Source. Windows memory counter
Date. 2026-10-08
Method. Read from the source on the date shown.
MEASURED. Counted or timed on our own system, on the date shown.
Source. Linux load average counter
Date. 2026-10-08
Method. 8 cores
MEASURED. Counted or timed on our own system, on the date shown.
Source. Scheduled job run record (every run is logged)
Date. 2026-10-08
Method. 4686 runs
MEASURED. Counted or timed on our own system, on the date shown.
Source. Scheduled job run record (every run is logged)
Date. 2026-10-08
Method. All scheduled jobs in 24 hours now, against one failing snapshot job before. Different bases, shown separately.
MEASURED. Counted or timed on our own system, on the date shown.
Source. Gate run record
Date. 2026-10-08
Method. Recorded by the gate runner at the time shown in the run record.
MEASURED. Counted or timed on our own system, on the date shown.
Source. Backup log
Date. 2026-10-08
Method. Read from the source on the date shown.
UNKNOWN. We have not measured this yet, so we do not show a number.
Source. No durable run record exists yet
Date. 2026-10-08
Method. That suite does not log its own run time, so we show no figure. A recorder is the next fix.
MEASURED. Counted or timed on our own system, on the date shown.
Source. Kernel compression gate record, 2026-10-08; Sigil ceiling report, 2026-10-08
Date. 2026-10-08
Method. 25 matched jobs: same task text as earlier runs on the full rule book, re-run on the compact core. Cost is API-equivalent token pricing, not a bill.
MODELLED. Computed from measured inputs under stated assumptions. A scenario, not a result.
Source. Sigil ceiling report, 2026-10-08
Date. 2026-10-08
Method. The same measured token counts repriced under five layers of change. The last layer needs a decision not yet taken. A scenario, not a forecast.
MEASURED. Counted or timed on our own system, on the date shown.
Source. Kernel compression gate record, 2026-10-08
Date. 2026-10-08
Method. 50 questions about the rule book, read-only tools, judged. Before is the full rule book, after is the compact core. Bar was 48 or better.
MEASURED. Counted or timed on our own system, on the date shown.
Source. Kernel compression gate record, 2026-10-08
Date. 2026-10-08
Method. Questions written by an independent agent that never saw the compact core.
MEASURED. Counted or timed on our own system, on the date shown.
Source. Kernel compression gate record, 2026-10-08
Date. 2026-10-08
Method. Same 25 tasks. Two full-rule-book results claimed clean lint on files that fail lint. The compact core had none.
MEASURED. Counted or timed on our own system, on the date shown.
Source. PC optimisation report, 2026-10-08
Date. 2026-10-08
Method. Run record average before, a timed run after. The secret check now scans only files that could be committed.
MEASURED. Counted or timed on our own system, on the date shown.
Source. PC optimisation report, 2026-10-08
Date. 2026-10-08
Method. Before: 30 to 45 minutes a run (midpoint shown, 37.5 minutes). After: 14 seconds, incremental with a daily full pass.
MEASURED. Counted or timed on our own system, on the date shown.
Source. PC optimisation report, 2026-10-08
Date. 2026-10-08
Method. One bundle per repository keyed on content, instead of re-bundling about 12 worktrees.
MEASURED. Counted or timed on our own system, on the date shown.
Source. Round-2 brief, 2026-10-08 (raw log attaching)
Date. 2026-10-08
Method. Size of the repository directory before and after history and run-state cleanup.
MEASURED. Counted or timed on our own system, on the date shown.
Source. Round-2 brief, 2026-10-08 (raw log attaching)
Date. 2026-10-08
Method. Wall-clock seconds for the full suite, before and after.
The machine, measured on itself first
Every number below was read off our own running system on 8 October 2026. Tap any card to see exactly where it came from.
RECORDED
US$0.97 to US$0.12
cost of one worker job, 8 October 2026
8.4 times more finished work for every dollar, and 25 of 25 jobs passed against 23 of 25 before.
Where this number comes from
MEASURED
215,000 to 29,000
tokens each worker reads before it starts
A new starter's induction folder cut from a filing cabinet to one binder, with the work done just as well.
Where this number comes from
MEASURED
1,451 jobs in 24 hours
finished by the machine, 1.1% failed or stuck
About 196 worker-hours of finished jobs in a day, a median job taking 3 minutes.
Where this number comes from
MEASURED
6,314 test cases
in the main TITANOS engine, plus automated safety suites on the control layer
A pilot's pre-flight checklist, run before every take-off instead of once.
Where this number comes from
Cheaper, faster and passing more tests. So what does one person with this system actually build?
One engineer built TITANOS in about 5 months, around a day job. The industry COCOMO model says that is about 24 engineers for about 31 months (MODELLED, method on the Engineering page). We exist to give your business that output safely, without replacing anyone.
Nobody gets replaced. Your people stay. They stop doing the boring parts and get their hours back.
A whole engineering department, for the price of one person.
Where that comes from
The industry-standard COCOMO model sizes the TITANOS build at about 24 engineers for about 31 months (MODELLED). One person built it in about 5 months. Method on the Engineering page.
What changes for you
01
The team you would never afford
TITANOS was built by one engineer at the output of a roughly 20-person team by the COCOMO estimate, and that is the standard you get.
02
Speed you can feel
Tell me on Monday what is slowing you down. I aim to have a first fix running by the end of week one.
03
Safe the way pilots are safe
Nothing we build goes live until it passes thousands of automated checks, every single time.
04
Nobody loses their job
Your people stay. They stop doing the boring parts and get their hours back.
05
The no-brainer
The first conversation and your report are free. You know the price before anything starts, and if it is not for you, that is completely fine.
Like a pilot's pre-flight checklist: thousands of checks before every take-off, not just the first one.
Where that comes from
6,314 test cases run before anything is committed. Nothing goes live until they pass.
Four places the manual work is quietly costing you
Leads that never get followed up. The same questions answered by hand, every day. Data copied between systems by a person instead of a computer. A privacy problem nobody's checked in a year. Most owners know AI could help. Fewer know where to start.
If that is where the cost goes, what does a first conversation with us look like, and what does it cost you?
Start with a free consultation and a free report
A half-hour with Kyle, then a report on your business. No cost, no obligation, and a no is welcome.
STAGE 01 / 04
You tell me how your business runs
How your day-to-day actually works, in your own words.
STAGE 02 / 04
We find the repetitive work
Together we find what's costing you the most time and money.
STAGE 03 / 04
I tell you straight
What's automatable, what it'd take, and what it's worth. If it's not worth it, I'll say so.
STAGE 04 / 04
We start in month 1
If it makes sense, we build your first system inside month 1 of a retainer.
If there's nothing worth automating yet, I'll tell you that too.
Message Kyle. No booking, no forms.
Kyle replies by email and Telegram within one business day.
How this actually works
One path, start to finish.
STAGE 01 / 04
Free consultation
Free half-hour, plus a free report on your business. We work out what is worth automating. A no is welcome.
STAGE 02 / 04
First system, live
Built inside month 1 of the retainer. Not a separate build fee.
STAGE 03 / 04
Partnership
Months 2-3: optimised against how you actually use it.
STAGE 04 / 04
Compounding growth
Month-to-month after that. The systems keep improving.
Pick the partnership that fits where you are today
We don't sell projects. We sell partnerships that build, optimise and scale. Every plan includes Privacy by Design, Data Security, Compliance Alignment and Ongoing Support.
Routing · input required
What should the system take on first?
AI Growth Partner
AI Growth Partner
AU$1,500/mo
3-month minimum
One system built and running in month 1, optimised through months 2-3, then ongoing support and iterations. Built for SMBs, solo operators and early adopters.
Terms
- Month 1: your highest-impact system built and live
- Month 2: optimised against how you actually use it
- Month 3+: ongoing support, new systems as you grow
AI Ops Partner
AI Ops Partner
AU$2,500/mo
3-month minimum
Multiple systems, automations across your core ops, reporting and dashboards, continuous improvement month over month. For growing businesses ready to scale ops.
Terms
- Month 1: first system(s) built + a reporting dashboard
- Month 2: automations added across your core ops
- Month 3+: continuous improvement, new systems as ops grow
Embedded AI Partner
Embedded AI Partner
AU$5,000/mo+
3-month minimum
A full automation strategy across your whole operation, custom systems built for how you actually work, and your team trained to run them. For businesses ready to rebuild how they operate.
Terms
- Month 1: automation strategy + first systems built
- Month 2: full-stack rollout + your team trained to run it
- Month 3+: ongoing transformation partnership
Pick your door. There is one at every budget.
From a free scan with no card, to enterprise programs across a whole group. If none of it fits yet, the free scan and the audit call are still yours.
Open door
Anyone. No card, no commitment.
AU$0
- Free security + AI exposure scanAU$0
- Free half-hour audit callAU$0
Starter
Solo operators and small teams testing the water.
From AU$149/mo
- TITANOS Monitor (monthly)AU$149/mo
- TITANOS Monitor (annual)AU$1,490/yr
- Leads StarterAU$497
- Job Flow for tradies (launching soon)AU$249/mo
Business
SMBs getting compliant and buying pipeline.
From AU$1,497
- Leads GrowthAU$1,497
- Leads CampaignAU$3,497
- Leads monthly retainerAU$990/mo
- Privacy Act + Essential Eight packAU$5,997
Partnership
Businesses rebuilding how they operate.
From AU$1,500/mo
- AI Growth PartnerAU$1,500/mo
- AI Ops PartnerAU$2,500/mo
- Embedded AI PartnerAU$5,000/mo+
Enterprise
Groups, regulated entities and boards. Scoped on a call.
From AU$49,997
- Board AI risk advisoryAU$7,997/mo
- Enterprise continuous monitoringAU$14,997/mo
- Enterprise AI security operationsAU$24,997/mo
- Enterprise AI governance programAU$49,997
- Multi-entity compliance programAU$74,997
- EU AI Act readiness programAU$99,997
- OEM platform licenceAU$149,997/yr
Nobody gets turned away for budget. If the ladder does not reach you yet, take the free scan and the audit call. You keep the findings and the plan either way, and you are welcome back whenever the timing is right.
Seven kinds of repetitive work come up again and again. Which one is eating your week?
If it's repetitive, we automate it.
Lead gen & outreach
Finds and follows up with the customers you're currently missing.
Customer service & support
Answers the same ten questions your inbox gets every day, instantly.
Appointments & booking
Books, reminds, and reschedules without anyone touching a calendar.
Content & social media
Keeps your channels active without you writing a single post.
Sales & follow-up
Chases every quote and lead until someone answers.
Data & reporting
Your numbers, pulled from the systems you already run, before Monday's meeting.
Admin & data entry
Invoicing, onboarding, documents. The repetitive work, gone.
How far this reaches
Hours handed back, nobody replaced. The market is large, and the cost of building for it just fell. Both numbers are labelled and sourced.
RECORDED
232,912
Australian businesses with 5 to 19 staff
Each one holds the same repetitive work, and none of them has a spare engineering department.
Where this number comes from
MODELLED
24 engineers for 31 months
what the industry COCOMO model says this build would take (MODELLED). One person built it in about 5 months, around a day job.
A whole engineering department, for the price of one person.
Where this number comes from
MEASURED
20.2 GB to 11.8 GB
memory the build machine holds
Same machine, same work, almost half the memory, because waste was found and turned into code.
Where this number comes from
Big numbers are easy to say. Here is a way to test them against your own business, with your own figures.
What is manual work actually costing you?
Move the sliders. This uses your numbers, not a claim about past results.
Input: set your own numbers
Computed: from the numbers above
AU$1,948
per month
10 hrs/week × AU$45/hr × 4.33 weeks
At that scale, the closer fit is a AI Growth Partner, from AU$1,500/mo.
This is your own arithmetic, not a claim about past results. There are no past clients to draw one from yet. Move the sliders; the number moves with them, nothing else.
Not ready to talk yet? Take the self-audit.
The AI Readiness Guide: a real checklist for whether AI will save your business time, and what governance you need before deploying it. Free, no form, no catch.
Download the free guide (PDF) →Privacy by Design
“Every AI shop can build you a chatbot. None of them can tell you it's privacy-compliant by design, because compliance is my other practice.”
- Every AI system we build is privacy-compliant by design
- Privacy policy and automated-decision disclosure handled as part of onboarding
- One person handles both AI and compliance, so nothing falls through the gap between them
- I respond in minutes and build in days, not months
Kyle Deligny, one operator, Brisbane. ABN 34 318 502 254. Personally accountable for every system shipped.
The doctrine behind the delivery
Built from a phone. Solo. Pre-revenue. No permission asked.
The operator
One person built TITANOS from a phone. No office, no team, no one's permission required. Capability was never supposed to be something you have to be given. It is something you build.
The division of labour
The machine carries the repetition, the plumbing, the noise. The human decides what matters and stays accountable for it. AI is infrastructure here, never a character standing in for you.
Automate the known. Preserve human judgement for the unknown. That is the whole method, and everything we build for you runs on it too.
Read the doctrine: Black Ice →
Free field guide. The actual operating system behind every build, not a lead magnet.
Straight answers, before you ask
A system you build once and never touch again decays as usage and tools change. The retainer is one price that includes the build, the tuning and the support, instead of a build fee followed by a second sale later.
Month 1 is the build. Months 2 and 3 are where it gets tuned against how you actually use it, which is when it starts paying for itself. After that it is month-to-month, no lock-in.
That is most of who I work with. You do not need to understand how it works, the same way you do not need to understand accounting software to use it. The free half-hour is for exactly that.
Fair. Month 1 needs about an hour of your time in total: one call to work out which task is worth automating, one to check I built the right thing. If I need more than that, I have scoped it wrong.
Sometimes, genuinely, and I will say so if that is the honest answer. The part that eats weeks is not the prompt. It is the plumbing: getting it running against your real data and keeping it working when the tools change.
Ongoing support is part of the retainer, not an add-on. Like a spare tyre and a full service history, anything that breaks can be rolled back to yesterday in one command.
Kyle Deligny, founder of TITANOS, Brisbane. ABN 34 318 502 254, verifiable on the Australian Business Register. My own security report is published in full at /our-evidence-pack, not a mock-up.
Every system is built privacy-compliant by design. That is the other half of my practice, not a bolt-on.
Yes, and here is how. Nothing we build goes live until it passes thousands of automated checks, like a pilot's pre-flight checklist, every single time. Anything important (money, legal, anything sent out, anything that cannot be undone) needs a person's tap first. Everything the system does is recorded.
No. Nobody gets replaced. Think power steering, not a self-driving car: you still drive, it takes the strain off your arms. Your people stay and get their hours back from the repetitive parts.
The industry-standard COCOMO model sizes the TITANOS build at about 24 engineers for about 31 months (MODELLED). One person built it in about 5 months, with 6,314 test cases guarding it. The method is shown in full on the Engineering page, so you can check it yourself.
The first conversation and your report are free. After that the prices are published and you know yours before anything starts: Titanos Monitor AU$149/mo, the Privacy Act compliance pack AU$5,997, and AI retainers from AU$1,500/mo (3-month minimum). You pay for the result, not an open taxi meter.
Right beside you. This sits next to your IT provider, nothing goes live without passing the checks, and you keep control of every change. If it helps, I am happy to talk to them directly.
1. You message me. 2. We have a free half-hour where you tell me what is slowing you down. 3. I send you a free report on your business, so you can see what I see. 4. If you like it, you get a price before anything starts. If it is not for you, that is completely fine and the report is still yours.
You have seen the receipts. Would it be okay if I looked at your business the same way, free, and told you straight what I find? A no is welcome.
A free health check before any treatment, so you see exactly what needs work.
Where that comes from
The first conversation and your report are free. You know the price before anything starts, and a no is completely fine.
Start with a free consultation and a free report on your business
I am Kyle, the founder of TITANOS. If you like me, you like the business and you like the offer, or we can shape it into something that works for you, would you be happy to start with a free half-hour? You leave with a clear picture of what you could do next and a report of your own. A no is welcome.
Kyle replies by email and Telegram within one business day.