AI Football Private Financial & Execution Proposal Confidential
Contents

    CONFIDENTIAL. Distributed separately from the technical presentation. Planning estimates, not quotes. Not an offer, salary, invoice, debt or obligation.

    ConfidentialDistributed separately from the technical presentation

    Private Financial & Execution Proposal

    AI Football is an idea conceived by its two promoters: 22 autonomous virtual players in an 11v11 simulation, a sealed match record, and later 3D production. This document sets out what the first phase would cost in cash, how the engineering could be executed, how long it may take, and how a separate visual investment would be released step by step, only after results.

    Basis: Master Technical Engineering Blueprint v1.3 and the Technical Feasibility Proposal v1.3 Market references read: 14 Nov 2026 Prepared by: the author of the technical assessment Currency: USD unless stated

    At a glance

    Planning estimates in USD, central scenario unless stated. Only the first two rows are cash, and only by tranches.
    ItemAmountPaid in cash?Basis
    A First funding tranche, maximum2,400Yes, if authorised2 months × 1,200 ceiling; no automatic renewal
    A Operating cash, central scenarioup to 8,400Yes, by tranches7 months × 1,200 (range 7,200–8,400); a maximum, not expected spend
    B Value of the proposed lead-engineering contribution≈ 58,000–97,000No≈ 6.5 months × 9,000–15,000; form of any compensation not proposed here
    C Hiring the same work instead (labour)≈ 63,000–347,000Only in the hiring route1,260 h, from a remote senior contractor to an agency; comparison only
    D Future visual investment to pilot≈ 112,000–1.05MNot nowCentral ≈ 370,000; orders of magnitude, released by gates A, B, C
    The one rule to read every figure by

    B (the value of the engineering contribution) and C (the cost of hiring that work) are two ways of measuring the same work. They are never added together, and neither is added to the cash in A. If hiring happens, C becomes cash and replaces B.

    Every amount in this document is a planning estimate or an order of magnitude, with its assumptions shown. None is a quote. No figure here authorises spending by itself. Any funding, hiring or spending requires express, written authorisation from the project's promoters, under the decision rules they establish. The author of the technical assessment acts as technical feasibility adviser and does not hold that authority.

    00Reading guide

    Four different amounts, never summed

    The project's economics are easy to misread if four different things are added together. They answer four different questions.

    ConceptWhat it isCash the company pays in the first phase?Central figure
    A. Operating cashMoney the project actually pays: AI tools, isolated cloud machine, storage, servicesYes, as a maximum budget released by tranchesup to 8,400
    B. Contribution valueEstimated economic value of the lead-engineering hours and expertise, contributed in kindNo. Not a salary, invoice, debt or obligation to pay≈ 58,000–97,000
    C. Replacement costWhat hiring professionals to do the same engineering would costNo, unless the hiring route is chosen: then C becomes cash and replaces B≈ 63,000–347,000
    D. Future visual investmentAnimation specialists, motion data, 3D art, renderingNot now. Separate budget, released only through gates A, B and C≈ 370,000 to pilot

    Labels used throughout: strong evidence weak evidence missing evidence derived here. "Derived here" marks arithmetic this document performs on v1.3 inputs that v1.3 itself does not print.

    01A Initial operating cash

    USD 1,200 a month, as a ceiling

    The planning budget is a set of maximum monthly allocations, tax included. They are funding envelopes, not list prices or invoices. Every real expense is recorded with its receipt and summarised monthly against the allocation. Money not spent from an allocation is not spent elsewhere.

    Monthly allocation versus expected spend (USD). Planning estimate.
    ItemAreaMaximum allocationExpected spend
    ChatGPT, intensive engineering useAI engineering tools250100–200 + tax
    Claude and Claude Code, intensive useAI engineering tools250100–200 + tax
    Isolated Linux machine for simulationCloud infrastructure30080–260
    Storage, backups and logsCloud infrastructure1005–50
    Tools, testing and extra capacityTools and services3000–300
    Total1,200≈ 285–1,010 + tax

    Released by tranches

    DurationMaximum cumulative cash
    2 months (first tranche)USD 2,400
    3 monthsUSD 3,600
    4 monthsUSD 4,800

    Recommendation in v1.3: authorise at most two months (USD 2,400), conditional on results. Extend only after the milestones in §07 are verified. There is no automatic renewal.

    Honest reading

    • The 1,200 is a ceiling with tax included. In the highest case, with tax around 20%, spending would approach it.
    • If it would be exceeded, discretionary items are cut or spending pauses until an increase is approved in writing by the promoters.
    • The tax rate depends on the billing jurisdiction, which is not fixed yet.
    • Costs that can fall outside subscriptions: API usage, extra usage credits, taxes, cloud traffic, snapshots and backups, extra IP addresses, a temporary second machine, currency conversion for plans billed in euros, and a football adviser if paid (from the tools line).
    Operating cash by calendar scenario (maximum = allocation × billable months; not expected spend)
    ScenarioWeeksBillable monthsMaximum cash (USD)
    Favourable (target plan)1644,800
    Central (planning basis)28 (range 24–30)7 (6–7)8,400 (7,200–8,400)
    Unfavourable32–408–109,600–12,000, or stop earlier
    02A AI engineering tools

    Two intensive-use AI subscriptions, USD 250 each

    The engineering plan assumes AI-assisted development at about 45 hours a week. Neither provider sells a USD 250 plan, as far as could be read; each allocation covers one intensive-use plan, tax, and some API or extra usage, or a higher tier if needed.

    ChatGPT · allocation 250 · expected 100–200 + tax

    • Plus at USD 20; Pro tiers at USD 100 and 200 according to April 2026 press reports. press, not the price page
    • One October source cites a USD 500 tier; not confirmed.
    • The official pricing page could not be read (HTTP 403).

    Claude and Claude Code · allocation 250 · expected 100–200 + tax

    • Official pricing page: Pro USD 20 a month (17 billed yearly), Max USD 100; both include Claude Code. price page read
    • Usage limits apply every 5 hours and every week; tax extra.
    • Max would include USD 100 a month of API credits, per a summarised reading of the page (pending confirmation). Higher tiers were not visible.
    • The 200 upper figure assumes extra usage or a higher tier not yet confirmed.

    Risk R15 applies here: if AI acceleration is lower than assumed, hours rise and the calendar moves toward the central or unfavourable scenario. It is measured from month 2 (hours against milestones). Tool usage limits can also slow the heaviest days.

    03A Cloud infrastructure

    An isolated Linux machine, and small storage

    Third-party simulation code runs only on a rented, isolated Linux machine that can be destroyed and rebuilt from the repository. The developer's Mac is used for programming only. List prices below were read on 14 Nov 2026, before tax; they are references, not accepted quotes or commitments to contract.

    Provider and planvCPUMemoryDiskMonthly list priceNote
    Hetzner CCX23 (dedicated vCPU)416 GB160 GBEUR 73.49Shown as unavailable when read; Helsinki price; VAT extra
    Hetzner CCX33 (dedicated vCPU)832 GB240 GBEUR 117.99Same
    DigitalOcean General Purpose416 GB50 GBUSD 126Backups 20–30% of price
    DigitalOcean General Purpose832 GB100 GBUSD 252With tax, slightly above the 300 allocation
    DigitalOcean CPU-Optimized1632 GB200 GBUSD 336Exceeds the 300 allocation

    Recommendation

    Start with 16 GB and 4 dedicated vCPU; it fits the allocation with either provider. Move to 32 GB only if measurements in weeks 1–2 show memory or time per match require it, or to run two matches in parallel. Contracting remains pending authorisation.

    Storage, backups, logs · 100

    Object storage about USD 7–15 per TB-month; Hetzner snapshots EUR 0.0143 per GB-month; DigitalOcean backups 20–30% of the machine price. A batch of short matches is expected to take under 1 GB hypothesis. Expected 5–50 a month.

    Security that the budget buys

    • A provider account used only for AI Football; an exclusive SSH key.
    • No credentials of other projects or AI connectors on the machine.
    • Third-party code pinned by commit, run without network, separate user, memory and process limits.

    Not in the first-phase budget: cloud GPUs for training (USD 0.89–1.29 per GPU-hour mid-range; 2.89–4.89 high-end). Training is not planned in this phase.

    04Engineering execution options

    Two ways to get the same engineering done

    The first-phase engineering (simulator integration, the AI Brain, data contracts, testing, debugging and the isolated infrastructure) can either be hired, or carried out by an internal technical capability: a lead engineer (role) contributing the work in kind. Operating cash (A) is paid in both routes.

    Central scenario, 28 weeks to the technical prototype (H4). USD, planning estimates.
    Route 1: hire professionalsRoute 2: internal technical capability
    Brain and integration engineeringPaid in cash: ≈ 63,000–113,000 (remote senior contractor) to ≈ 130,000–189,000 (US employee), plus 10–20% QA/DevOpsContributed in kind by the lead engineer (role); no salary in the first phase
    RecruitmentNone for contractors; 27,000–40,000 and 2–4 months of delay for employeesNone
    Technical directionSomeone still has to direct the hire (not costed)Included in the role
    Tools and infrastructure (A)Up to 8,400Up to 8,400
    Cash the company pays≈ 71,000–122,000 (remote) to ≈ 165,000–237,000 (US), plus QA/DevOpsUp to 8,400
    Value of contributed work (not cash)Not applicable≈ 58,000–97,000
    How the work is compensatedSalaries or feesNot proposed here; to be discussed privately with legal advice (§05)
    Same work, measured twice

    The contribution value (B, ≈ 58k–97k) and the hiring cost (C) measure the same engineering. They never appear together in a total. Route 1 turns C into cash; Route 2 keeps cash at A only.

    A sturdier variant of Route 1 would be two engineers (game AI; simulation and integration), at a higher monthly cost and with more coordination; v1.3 does not cost it. Route 2 does not make the visual production cheap: that is planned separately (§08–14).

    05B Internal technical capability

    Value of the proposed lead-engineering contribution

    The role covers, in one person: architecture and technical direction, the AI Brain and agents, simulator integration, data contracts, testing, debugging and the isolated infrastructure, at about 45 hours a week (≈ 195 hours a month, 1.2 times a standard 160-hour month).

    Proposed value: USD 9,000–15,000 a month

    About USD 46–77 per hour at 195 hours a month. Value of contributed work by scenario:

    ScenarioDedication monthsEstimated value (USD)
    Favourable≈ 3.7≈ 33,000–55,000
    Central≈ 6.5≈ 58,000–97,000
    Unfavourable≈ 7.4–9.2≈ 66,000–138,000

    Dedication months = hours ÷ 195. Not added to the cash requested.

    How it compares with the market

    The range is conservative: it sits at the low end of a single remote senior contractor, for a role that combines several profiles. Evidence would support up to about USD 17,500–18,000 a month (remote senior at 45 h/week); it was deliberately not raised. A UK machine-learning contractor at the same hours would be GBP 9,800–19,200 a month.

    The value was proposed by the person being valued. The promoters may want to check it independently.

    What this is, and what it is not. This is an estimate of the economic value of an in-kind engineering contribution. It is not an offer, a salary, an invoice, a debt or an obligation to pay. The form of any compensation (cash, deferred, equity, or a combination) is to be discussed privately and agreed with legal advice. This document proposes no form and no percentage.

    Topics to settle with legal counsel before any work starts

    A negotiation checklist, not legal or tax advice.

    • IP assignment to the company. The Brain, software, data contracts and documentation assigned to the company from the first line of code, by explicit assignment; treatment of any work done before incorporation.
    • Attribution and recognition of contributed work. How hours and deliverables are recorded (the repository already leaves a trail), and whether they are valued by a fixed formula or a dynamic model.
    • Form and timing of any compensation. Cash, deferred, equity or a combination; whether and when a paid arrangement would start, for example after a funding round.
    • Milestones, responsibilities and commitment. Hours, milestones H1–H4, and what each party commits.
    • Vesting, only if agreed. If any equity element were agreed: by time or by milestones. Multi-year vesting with an initial minimum period is common practice; an observation, not a recommendation.
    • Exit. What happens if the engagement ends: IP, code access, and anything already earned.
    • Future hiring. Who decides to hire engineers, with what budget.
    06C Alternative external hiring

    What hiring the same capability would cost

    The realistic replacement is one senior multidisciplinary engineer plus 10–20% QA/DevOps support, not five hires. The engine comes from an existing open-source project; the work is integrating and validating it, not writing physics from scratch.

    ProfileSeparate hire?Reasoning
    Senior AI / Game AI engineerCore of the roleThe Brain is the original part of the project
    Simulation engineerCombinableIntegrate and validate a third-party engine in Python/JAX
    Software architect / lead developerCombinable at this stageSmall codebase; but a hire still needs someone to direct them
    Integration / backend engineerCombinableAdapters, record and 2D viewer are bounded in scope
    QA / testing / DevOpsPart-time, 10–20%Isolated-machine security and automated tests justify occasional support

    Hiring cost explorer

    Formula: hours × hourly range (+ QA/DevOps) + operating cash + recruitment
    Timeline scenario
    Hiring option

    Labour uses the Annex F1 reference hours: 720 h (favourable), 1,260 h (central), 1,800 h (unfavourable, the 40-week end). Total cash if hired adds the scenario's maximum operating cash and, for a US employee, a 27,000–40,000 recruitment fee. QA/DevOps adds 10% to the low end and 20% to the high end. Totals other than the central remote and US figures are derived here with the same formula.

    Market references read 14 Nov 2026
    OptionReferenceSourceEvidence
    Senior remote contractor (E. Europe, LatAm)USD 50–90/hArc.dev freelance rate survey, n=5,302, May 2026; lemon.io calculator (search summary)strong
    Senior global freelancerUSD 75–150/h (staff/principal 120–220)Arc.dev, May 2026strong
    US employee, total employer cost≈ USD 103–150/h: base 136,000–200,000 + ≈ 46% loadUS BLS Occupational Outlook (May 2025); BLS ECEC (June 2026); Levels.fyi (summary)strong
    UK machine-learning contractorGBP 575/day (P10 402, P90 788)ITJobsWatch, 6 months to 14 Nov 2026strong
    Development agency (NA / W. Europe)USD 165–275/hA vendor blog, unverifiedweak
    Recruitment20–25% of first-year salary (up to 30% for scarce profiles); 2–4 months to startRecruitment-firm blogs, unverifiedweak
    Replacement cost, labour only (thousands of USD) = hours × rate. As printed in v1.3 Annex F1.
    OptionH2 central (≈ 395 h)H3 central (≈ 790 h)H4 central (1,260 h)H4 favourable (720 h)H4 unfavourable (1,800 h)
    Remote senior contractor20–3639–7163–11336–6590–162
    Global senior freelancer30–5959–11895–18954–108135–270
    US employee41–5981–118130–18974–108185–270
    Agency65–108130–217208–347119–198297–495

    Add, depending on the option

    • QA/DevOps support: 10–20% on top.
    • Employees: recruitment fees of 27,000–40,000 (20–25% of 136,000–160,000) and 2–4 months before starting.
    • Always: weeks to learn the domain, and someone to direct the hire.
    • Tools and infrastructure (A) cost the same in any route.

    What one engineer rarely covers

    • Expert football judgement (hence a football adviser)
    • Infrastructure security hardening, if not a specialty
    • Rigorous statistical evaluation of acceptance criteria
    • Full rules and referee correctness
    • Large-scale machine learning, if rule-based players are not enough
    • Sustaining 45 hours a week for months with no backup
    • All audiovisual work, which needs other specialists (§08)
    07Project timeline scenarios

    16, 28 or 32–40 weeks to a technical prototype

    Weeks count from a future authorisation to develop; no date is committed. The central scenario, not the favourable one, is the basis for cash and expectations. A milestone reached is a technical result, not proof that the football is convincing.

    Scenario explorer

    Every output shows its formula
    Timeline scenario

    Replacement cost by hiring option
    Hiring optionFormulaLabour only (USD)Total cash if hired (USD)

    Billable months = weeks ÷ 4.33, rounded up (calendar months of operating cash). Dedication months = hours ÷ 195 (months of 45-hour weeks). In the unfavourable scenario the contribution uses 1,440–1,800 h, while replacement cost uses 1,800 h, as Annex F1 does.

    ScenarioWeeks to H4AssumptionHours
    Favourable (target plan)16The engine works with minor adjustments; AI accelerates substantially; few behaviour iterations≈ 720 (low end of the earlier 640–1,840 h effort estimate)
    Central (planning basis)28 (24–30)Engine or environment adaptations; more behaviour cycles; weeks of lower dedication≈ 1,260 (1,080–1,350)
    Unfavourable32–40, or stopThe candidate engine fails and must be forked or replaced; behaviour needs redesign≈ 1,440–1,800
    Milestones H1–H4 in the favourable plan (45 h/week)
    WeeksObjectiveHoursVerifiable milestone
    1–2Evaluate an existing simulator experimentally (1a isolation, 1b engine)90H1: stage 1b verdict on short matches
    3–5First agent controlled by our AI Brain135H2: one player moved by our Brain through contract 1 passes its scenarios
    6–10Intelligence for 22 players; first 5-minute 11v11 simulation in 2D225H3: a complete, visible 5-minute 2D match; quality not yet evaluated
    11–16Correct, evaluate behaviour, consolidate records, demonstrable prototype270H4: technical prototype evaluated against pre-set criteria
    Total720

    Strict order

    1. Simulator
    2. Brain
    3. 2D match
    4. Animation feasibility
    5. Small visual test
    6. Only then, larger production

    Weekly capacity of 45 h (planning split): engineering 20, testing 6, debugging 7, validation and documentation 4, external dependencies 4, risk reserve 4.

    What could move the calendar

    • Engine compatibility (its CI uses Python 3.11; current JAX needs 3.12+): days to weeks
    • Engine CPU performance unknown: may need 32 GB or smaller batches
    • Behaviour quality: the most likely cause of delay in weeks 6–16
    • AI tool usage limits on the heaviest days
    • The calendar depends on one person's availability
    08D Future animation resources · Study C

    Twelve visual components: reuse, develop, or a specialist

    Reasoned estimates to size a future, separate investment. Not budgets or quotes; nothing here is funded before its gate. Scope assumption: the lead engineer (role) keeps building and maintaining the Brain, the simulation, the record and the integration, including the record export. None of it exists yet; that assumption removes Brain engineering from these figures and reduces the need for a dedicated graphics engineer.

    #ComponentApproachPrice reference
    1Technical animator with sports experienceSpecialist central profileUS senior technical animator ≈ 113,000 average base (summary); animators overall median 102,030 (BLS). no freelance rate found: 50–150 USD/h used
    2Unreal Engine / real-time graphics engineerSpecialist part-time, or covered by #1UK median GBP 65,000 base; contractors 35–54 USD/h senior median, US average 60; Berlin ≈ EUR 112/h
    3Motion matching, IK, rigging, foot–ball contactDevelop on existing Unreal toolsWithin #1 and #2. This is where the technical risk concentrates
    4Licensed animation librariesReusePacks USD 20–110 on Fab; a 308-clip football pack USD 109.99. Many forbid AI training
    5Motion captureSpecialist or own kit, if libraries fall shortStudio typically 1,500–3,000/day (500–5,000); clean-up 2–8× capture time at 75–150/h. Own kit 4,395–4,495; markerless 18–490/month
    63D player modelsReuse bases and customise; specialist finish1,000–10,000 per game-ready character; hero EUR 2,500–8,000; AAA 25,000+ vendor blogs
    7Kits, stadium, lighting, camerasReuse and customiseStore stadiums 40–1,499; customisation by a 3D artist
    8GPU renderingDevelop the pipeline; rented or own compute0.89–4.89 per GPU-hour; workstation from ≈ 8,700; pro GPU ≈ 16,000
    9Video storage and processingReuse services7–15 per TB-month; 6–23 TB uncompressed per 96-minute programme at 60 fps
    10Editing, commentary, sound, scoreboard, TV graphicsReuse tools; occasional specialistsEditing 15–35/h (conflicting data); motion graphics 28–325/h; synthetic voice 22–299/month; commentator 200–350/h. Scoreboard and graphics generated from the record
    11Visual quality control and fixesDevelop tools + specialist hoursAnimator hours; errors per minute not yet known
    12Rights, licences, legal adviceSpecialist, occasionalUS lawyers average 362/h, corporate 461/h. Unreal licence: no fee below USD 1M group revenue including funds raised (provisional)

    A video editor is not a technical animator

    The hard problem is movement and contact, not editing. An editor cannot do the animator's work. A qualified technical animator, by contrast, can cover components 1–3 and part of 8, supported by Unreal's tools and the lead engineer's integration work.

    Do not assume five hires

    Starting requires one well-chosen central specialist, with occasional support in 3D art, capture and sound as the project advances. No single profile solves the audiovisual problem alone; motion data is a separate need.

    09D Study D · Progressive visual investment

    Each step is approached only if the previous one succeeds

    Orders of magnitude with explicit assumptions, not quotes. Specialist hours are an own estimate without a measured basis. A firm visual budget is only possible after V1 has been measured.

    Visual investment ladder explorer

    Log scale; select a step to see cumulative totals
    Small visual experiment (V1)Reusable production system (V2–V4)
    PurposeLearn whether it is possible and what it costsProduce matches repeatably
    Order of magnitudeTens of thousands of USDHundreds of thousands to the pilot, plus a cost per match
    What remainsImporter, contact test, measurementsFull pipeline, motion library, assets
    Decision it enablesFund V2 or notFund production or not

    About the earlier USD 240,000–1.44M figure. It assumed stages 4a–8 done by a fully hired team, including the Brain and simulation engineering. It was never a quote for animation, nor what the project would spend. With the Brain kept in-house, 4a + V1 + V2 + V3 add up to ≈ 112,000–1.05M, central ≈ 370,000 (taking ≈ 10,000 for the feasibility study), before V4's recurring cost per match.

    10D Stage 4a · Gate A

    Visual feasibility study: ≈ USD 2,000–18,000

    Work
    A technical animator consults for 40–120 hours on the 2D match records: what share of the simulated contacts a body can perform, and what motion data would be missing.
    Cost
    ≈ 2,000–18,000 (40–120 h at 50–150 USD/h). Totals use ≈ 10,000.
    Released by
    Gate A, after stage 3 (the 2D match). Gate A authorises only 4a and 4b (simulation consolidation), with a spending cap.

    Why it comes first

    It is the figure that allows everything after it to be estimated on a real basis. It also tests whether the animation specialist can be found (risk R9) and whether licensed motion data is enough (risk R3).

    11D Stage 5 · Gate B · small experiment

    First 3D test (V1): ≈ USD 17,000–135,000, central ≈ 50,000

    Work20–30 seconds of a real match: import the record, animated bodies, verifiable contacts, fixed camera
    Specialists and effortTechnical animator with Unreal knowledge, 320–640 h; the lead engineer (role) for export and verification
    SoftwareUnreal Engine (no fee below the revenue threshold; provisional)
    MotionLicensed packs (100–500); 0–2 capture days if key gestures are missing
    CharactersFree or store bases (0–2,000)
    GPUCloud, 25–600 h (≈ 20–2,900), or an own workstation if decided (≈ 8,700)
    Estimated cost≈ 17,000–135,000; central ≈ 50,000 (480 h at 90 USD/h, one capture day, cloud)
    What prevents a firm figureThe specialist's real rate; how many gestures the libraries lack; render seconds per frame
    What would sharpen itThe feasibility study; a quote from the specialist

    Advance to Gate C only if pre-declared thresholds are met without frame-by-frame manual correction, and V1 yields measured costs (specialist hours per second of video, render seconds per frame) good enough to budget V2.

    12D Stage 6 · Gate C · reusable system begins

    Short 3D match (V2): ≈ USD 75,000–670,000, central ≈ 250,000

    3–5 continuous minutes: full gesture repertoire, body-to-body interaction, referee, stadium, several cameras, scoreboard, sound. Gate C is the major investment decision and uses V1's measured costs.

    Effort

    • Technical animator 1,000–2,000 h; graphics engineer 0–960 h if the animator does not cover it
    • 3D artist for 6–10 characters (two teams, goalkeepers, referee) and stadium customisation
    • Capture 3–10 days plus clean-up, or own kit plus markerless capture
    • 5 minutes at 60 fps = 18,000 frames: 25–600 GPU-hours per take

    Risks and unknowns

    • The error rate may not fall with more data
    • Body interaction (tackles, collisions) may cost more than expected
    • Specialist availability; asset licence restrictions on AI use
    • Sharpened only by V1's measured errors per minute, render seconds per frame and animator hours per second of video
    13D Stage 7 · after V2

    Professional pilot (V3): ≈ USD 18,000–225,000 on top of V2, central ≈ 60,000

    On top of V2: commentary from match events, TV graphics, editing, visual quality control, corrections, legal review, first official match. The lead engineer (role) handles event-driven commentary, video-to-record verification and the integrity protocol.

    Effort: technical animator 160–640 h of corrections; editor and motion-graphics designer 40–160 h each; legal adviser 10–40 h. Risks: residual errors visible in replays; music and voice rights; publishing-platform policies. What would sharpen it: an audience test of V2 material.

    14D Stage 8 · after V3

    Full 90-minute match: no defensible budget, only a model

    A 90-minute match plus added time; a repertoire extended to rare events; production and verification automated where possible. There is no basis today for a defensible budget. What can be given is how the cost per match would be calculated.

    Cost per match = render + storage + (errors per minute × 96 min × correction minutes per error ÷ 60 × rate) + editorial review

    Render calculator

    96 min × 60 s × 60 fps = 345,600 frames; cloud GPU at 0.89–4.89 USD/h
    Render seconds per frame (unmeasured; measured in V1–V2)

    Render of a 96-minute programme at 60 fps, as in v1.3
    Seconds per frameGPU-hoursCost per match (USD)

    Errors per minute and correction minutes per error are unknown; they are measured in V1 and V2. The defaults reproduce v1.3's illustrative example only (2 errors/min × 10 min = 32 specialist hours, 1,600–4,800 at 50–150 USD/h). Editorial review and the extension to rare events are not estimated.

    15Financial risks

    Where money could be lost, and the control for each

    #RiskSeverityDetectedControl
    R15AI acceleration lower than assumedMedium-highMonth 2Measure hours against milestones; plan on the central scenario; unfavourable scenario stated
    R16Real spend exceeds the allocation (tax, extra usage, cloud)MediumMonthly1,200 ceiling with tax included; expense log with receipts; billing alerts; cut discretionary items or pause until written approval
    R13All knowledge and the calendar depend on one personHighAlwaysContinuous documentation in the repository; written contracts and decisions; machine reproducible from the repository
    R1Legal but not credible footballCriticalStage 2Scenario ladder; blind review; stop point before further spending
    R2Animated bodies cannot follow the simulationCriticalStages 4a–5Feasibility study and a minimal sequence before paying for 22 bodies
    R3Motion data with rights is missingHighStage 4aPrior inventory; own capture budgeted
    R4Cost per match unaffordableHighStage 6Measure before scaling (V4 model)
    R9Animation specialist unavailableMedium-highStage 4aEarly search
    R10Licences unconfirmedMediumBefore Gate CLegal reading of the primary licence texts
    R12The audience is not interestedDominant, not technicalStages 3 and 6Show real material early; not an engineering experiment
    OtherCurrency and taxLow-mediumMonthlySome plans are billed in euros; tax jurisdiction not fixed; both absorbed by the tax-included ceiling or cut lines

    Financial control. Funding by milestones; a first tranche of at most two months (2,400); extensions only after verified progress. Every stage has advance and stop criteria fixed before it runs, and a maximum effort in hours. The two technical stop points are stages 2 and 5. Numeric thresholds are recorded in the repository, dated, before each stage, and are not changed after seeing results.

    16Funding by milestones

    Small tranches, verified milestones, no automatic renewal

    The only decision that would open execution and spending is to authorise step 1a (create the isolated machine and demonstrate isolation, with no third-party code) and a first tranche of at most two months (USD 2,400). Step 1b needs a separate GO once 1a has passed. No gate renews automatically.

    Funding timeline

    Weeks from a future authorisation
    Timeline scenario

      Favourable milestone weeks are from v1.3 §12.2. Central and unfavourable positions of H1–H3 are derived here by the same proportional scaling Annex F1 uses for milestone hours (central ≈ 395 h to H2, ≈ 790 h to H3; 40-week case ≈ 560 h and ≈ 1,125 h), at 45 h/week. Beyond stage 3, v1.3 gives no weeks: those depend on the visual investment and on measurements that do not exist yet.

      17Evidence quality and sources

      How much weight each figure can bear

      Market references were read on 14 Nov 2026 for the v1.3 planning basis. No new research was done for this document. Tags: [R] page read; [S] search summary only; [V] verified; [P] pending confirmation.

      Strong

      • US official statistics: BLS Occupational Outlook, software developers median base 135,980 (May 2025) [R]; BLS ECEC benefits share (June 2026) [R]; BLS animators median 102,030 [R]
      • Freelance rate survey with more than 5,000 responses: Arc.dev, n=5,302, May 2026 [R]
      • ITJobsWatch UK contractor and permanent rates, 6 months to 14 Nov 2026 [R]
      • Provider price pages read: Claude, Hetzner, DigitalOcean, GPU clouds (Lambda, RunPod), Fab packs [R/V]

      Weak

      • Agency and studio rates (vendor blogs with commercial interest) [S]
      • Per-character 3D model prices [S]
      • Recruitment fees and time-to-hire, from recruitment-firm blogs [S]
      • ChatGPT tiers, from April 2026 press; official page unreadable [S]
      • Motion-capture studio day rates (a vendor blog, March 2026) [R, vendor]
      • Lawyer hourly averages [S]

      Missing

      • A freelance rate for technical animators: visual costs use 50–150 USD/h (senior remote to senior global)
      • Errors per minute and correction minutes per error (measured only in V1–V2)
      • Render seconds per frame (measured in stage 5)
      • Real hiring rates, motion-capture quotes, primary Epic licence texts
      Main sources behind the figures (as cited in v1.3)
      TopicSourceDateTag
      Remote and global freelance ratesArc.dev freelance developer rate survey (n=5,302)May 2026[R]
      Remote senior ML/Python, Ukrainelemon.io rate calculator2026[S]
      US developer payUS Bureau of Labor Statistics, Occupational Outlook HandbookMay 2025[R]
      US benefits loadBLS Employer Costs for Employee CompensationJune 2026[R]
      US engineer base medianLevels.fyi2026[S]
      UK ML contractor day rateITJobsWatchto 14 Nov 2026[R]
      Agency rates; recruitmentVendor and recruitment-firm blogs2026[S]
      Linux machinesHetzner and DigitalOcean list prices14 Nov 2026[V]
      GPU hourly pricesLambda and RunPod on-demand pagesNov 2026[V]
      Workstation; pro GPUPuget Systems configurator; vendor blogNov 2026[V]
      Animation packsFab marketplace14 Nov 2026[R]
      Motion captureStudio-rate vendor blog; Rokoko; Move.ai2026[R]/[S]
      Technical animator paySalary aggregator (summary); BLS animators2025–2026[S]/[R]
      AI tool plansClaude pricing page; press reports for ChatGPTApr–Nov 2026[R]/[S]
      18Limits

      What is not included, and what this document is not

      Not included in the figures

      • Taxes beyond the tax-included 1,200 ceiling; the billing jurisdiction is not fixed
      • Company formation, accounting, and legal fees for any agreement
      • GPU training for machine learning (not planned in the first phase)
      • The cost of directing a hired engineer, and domain ramp-up time
      • A costed two-engineer variant
      • V4's recurring cost per match, editorial review and rare-event repertoire
      • Marketing, platform, distribution and audience validation (no experiment designed)
      • Currency movements for plans billed in euros

      What this document is not

      • Not a quote: every figure is a planning estimate or order of magnitude
      • Not an offer, salary, invoice, debt or obligation of any kind
      • Not a compensation or equity proposal: no form and no percentage is proposed
      • Not legal, tax or accounting advice
      • Not an authorisation to spend or execute: no budget authorises spending by itself
      • Not a commitment to dates: weeks count from a future authorisation
      • Not access-controlled: confidentiality depends on how this file is shared