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16-chemical-cooker

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Inventor: Christopher Gabriel Brown
Project 22 — Internal designation 16-chemical-cooker
Status: Patent pending — all rights to seek additional patent protection are expressly reserved by the inventor. All designs, specifications, source code, and intellectual property are the exclusive property of Christopher Gabriel Brown. See the enclosed LICENSE and PATENT_PORTFOLIO.md references for full legal notices.
License: Proprietary & Confidential — LicenseRef-Proprietary-CGB
Maturity Level: 1 (Research) — design package ready for build
Release Date: 2026-05-02 (manifest); v2 engineering change April 2026
Citation (CFF 1.2.0): Christopher Gabriel Brown, Independent Inventor, crioneaka@outlook.com
The Chemical Cooker is a gantry-based automated chemistry workstation (3D-printer-style) combined with the Serum Build Platform — a run-ready, subscription-gated software system that turns formulation data into executable G-code recipes. The package ships as a complete design-and-software bundle: hardware blueprints (design specifications, bill of materials, assembly steps, wiring diagrams, calibration runbooks, safety & compliance), a full Python software stack (G-code interpreter, controller, recipe builder, Simple UI, batch production, discovery bridges, drug database, reference system, dosage controller, formula scaler, outcome foresight, FDA tools, and more), and a curated Lite Alchemy data set of 24 elements, 50 synthesis methods, and 28 probability entries gated by serial-key subscription.
The workstation provides three-axis CNC-style motion (X, Y, Z on linear rails with stepper motors), syringe-pump and peristaltic liquid handling, heated reaction vessels with magnetic stirring, a dedicated oven chamber (50–300 °C), dual-polarity microwave applicators (positive and negative modes), and an optional enclosure with fume extraction. The v2 engineering revision adds six new subsystems — inline NIR + Raman spectroscopy, pre-flight computer-vision deck validation, an AutoPhi V20 PCIe 5.0 ×8 edge-compute accelerator, an acoustic droplet dispenser (1 nL precision), an inert-atmosphere (N2/Ar) purge chamber, and a UV cure module (365 + 405 nm) — while upgrading the heating block to 180 °C and the audit trail to Dilithium-5 signed hash-chain records (21 CFR Part 11-ready).
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The software is the focus of this offering. All recipes can be designed, generated, validated, and dry-run without any hardware. The physical build follows the documented blueprints when the buyer is ready.
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Scaling option: dimensions can be increased (e.g. 800 × 600 × 500 mm) for larger vessels or more wells.
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Version 2 (assembly tag CCL-22-ASSY-002, released April 2026) adds six new subsystems, upgrades the heating block and safety sensors, and replaces the plain-CSV audit trail with a cryptographically signed hash-chain record system. All v1 recipes run unchanged on a v2 cooker. The v2 acquisition price is $3,800,000 (vs. $2,500,000 for v1).
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Spectroscopy decision codes returned by EDGE-001: 0x00 OK (advance), 0x01 CONTINUE (re-read after wait), 0x02 PAUSE (operator review), 0x03 ABORT (GMP abort record).
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Authentication options: (1) Lifetime card — paper card with unique code (e.g. SBP-LITE-XXXXX-XXXXX-XXXXX) entered once, locked to that installation; (2) User ID + password backed by users.json on the disc; (3) Serial key in config.json. Priority: activation file → config serial key / user+password → prompt.
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The curated Lite Alchemy data set (gated by subscription) contains 24 elements, 50 synthesis methods (M001–M052), and 28 probability entries.
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Each bridge script reads the corresponding project’s findings/*_discoveries.json, maps the selected compound to a formulation (elements, heat from synthesis_methods or literature values, stir, wait), builds recipe steps, converts to G-code, writes recipe JSON + G-code files, and appends one row to the royalty audit CSV — all crash-hardened with safe_write (flush + fsync) and recovery files. No subscription required for bridge scripts.
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The drug data downloader (software/drug_data_downloader.py) retrieves pharmaceutical data from the PubChem REST API (rate limit: 5 requests/second), parses molecular formulas into element lists, and saves results as JSON. The aspirin recipe generator produces complete pill recipes from PubChem data — e.g. aspirin (CID 2244, C9H8O4, MW 180.16 g/mol): 100 pills × 325 mg = 32,500 mg active + 5,700 mg excipients = 38,200 mg total.
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300 diseases across 12 categories have been imported from Project 16 disease-cure research into software/disease_research/disease_database.json. Categories: Infectious (50), Cardiovascular (25), Respiratory (25), Gastrointestinal (25), Endocrine (25), Neurological (25), Musculoskeletal (25), Dermatological (25), Hematologic (25), Psychiatric (25), Renal (15), Hepatic (10). For each disease: name, number, category, primary compound, molecular formula, molecular weight, elements, target concentration, and final volume are extracted.
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A 3D-printer-style element-drum system featuring 24 element drums (50 L capacity each) in a 4 × 6 grid, syphon assemblies (2 m hoses, 6 mm diameter, 100 mL/min default flow), a universal adapter with 24 input ports and a 500 mL mixing chamber (2 mm output nozzle), and a large-format bed in 12″ (304.8 × 304.8 mm, ~2.5 L max) or 24″ (609.6 × 609.6 mm, ~5 L max) sizes with 1 mm positioning resolution and heating up to 200 °C.
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Conceptual design for an advanced multi-story recycling facility: 150–200 m height (50–65 stories), 30–40 m base diameter tapering to 25 m, reinforced concrete with steel framework. 700–1,200 m² floor area per level. Processing capacity: 1,000–5,000 tons/day, continuous 24/7, energy generation 5–20 MW. Provides purified elements, water, and power to the Chemical Cooker.
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Comprehensive pharmaceutical reference management with three components: reference manager (software/reference_manager.py) for search, add, import/export, and statistics; reference updater (software/reference_updater.py) for automatic PubMed (E-utilities, 3 req/s), FDA, and standard reference downloads; and reference integration (software/reference_integration.py) for linking references to drugs and recipes. Standard references included: Goodman & Gilman’s (2023), Remington (2021), USP-NF, FDA Orange Book, Martindale (2023). Database: software/references/references_database.json.
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Defines intake pills by mg (milligrams) and ÎĽg (micrograms) per pill. Direct specification (--mg 25 --ug 50 --pills 30) or derivation from serum batch (--from-serum <volume_ml> <conc_mg/ml> <pills>). Outputs table and label suitable for printing on cards or bottles. CSV export available.
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Percentage utilities: Convert between percent w/v and mg/mL (1% = 10 mg/mL); composition percent to ratios.
Outcome foresight: Given volume, concentration (% or mg/mL), and pill count, projects total mg, mg per pill, and an optional success band from Lite Alchemy probability data when elements are provided. Example: 10 mL at 5% w/v, 50 pills, elements C,H,O,N,Zn → 500 mg total, 10 mg/pill, method probability 88%.
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Answers “for X mL of serum, how much of each component?” using named base formulas from software/formulas/base_formulas.json. Scale factor = target_volume_ml / base_volume_ml. CLI: python software/formula_scale.py --formula C-H-O-N-Zn --target-ml 10. Also scales recipe volumes_ul arrays for batch sizing.
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Run-list CSV (columns: source, compound_or_formula_id, target_ml) drives automated generation of recipe + G-code for every row. Discovery rows call the appropriate bridge script; formula rows use the formula scaler. Optional --run flag executes each G-code in sequence via the cooker controller. Schedulable via cron or Windows Task Scheduler for fully unattended operation.
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Each use of a discovery bridge or the platform appends one row to audit/royalties_by_use.csv. Columns: timestamp_utc, source, compound_or_recipe, serial_key (masked), royalty_units, notes. Written before recipe/G-code files; flushed and fsync’d. Used for royalty computation: royalty_due = SUM(royalty_units) × rate_per_unit.
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All critical file writes use safe_write.write_text_flush() (write → flush → fsync). On exception, recovery files are written: last_diabetes_recovery.json/.gcode, last_alzheimers_recovery.json/.gcode, last_parkinsons_recovery.json/.gcode, last_platform_recovery.gcode. The recipe builder NameError (undefined oven_c, mw_neg, mw_pos) has been fixed. Order: audit first → write with flush → recovery on exception.
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Core G-code interpreter and controller logic require no external dependencies (stdlib only). The platform app (platform/app/) also uses stdlib only for its core validate/recipe/main flow.
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The interpreter (software/gcode_interpreter.py) defines 15 command types via the CommandType enum: MOVE, RAPID, HOME, DISPENSE, TOOL, HEAT, OVEN, MICROWAVE_POS, MICROWAVE_NEG, STIR, WAIT, PAUSE, ABSOLUTE, RELATIVE, COMMENT, END. Each parsed line yields a ParsedCommand dataclass with typed fields: x, y, z, f (floats); d (μL); t (tool int); h (°C); o (oven °C); mw_power (W); mw_time (s); s (stir 0/1); w (wait s); raw (original line). Exposed via generators parse_gcode_file() and parse_gcode_string().
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Power path: AC mains → GFCI outlet → 24 V DC PSU (5–10 A) → fuse 10 A → CNC HAT / RAMPS (motor power). Buck 24 → 5 V (3 A) → fuse 2 A → Pi / Arduino (logic). Heater: AC mains → fuse 5 A → SSR (gate driven by 5 V via ~220 &ohm;) → heating block. E-stop: NC contact in series with 24 V to drivers. All logic GND tied together. Keep stepper wires away from thermistor/endstop wires to reduce noise. Use cable chains or clips for X/Y/Z cable routing.
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Covers ventilation (fume hood or ducted exhaust for volatile/toxic use), containment (drip tray, secondary containment, spill kits), electrical safety (fused DC/AC; SSR with grounded plug; GFCI near wet areas; no exposed AC on deck), mechanical safety (guards, E-stop, temperature limits in software), and chemical compatibility (PTFE/FEP/PharMed tubing; borosilicate/PTFE vessels). Home-lab and professional/institutional guidance included. Compliance checklist provided. v2 adds VOC detector, spill sensor, UV interlock, and inert-gas flow sensor.
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The platform supports pharma / animal-health scale use: batch production from run-list CSV, use-by-use royalty audit, formula scaling with percentage (w/v) and outcome foresight, dosage controller (mg/μg per pill), controlled distribution via lifetime card or user ID + password on Blu-ray disc, legal foundation (patents, compliance, user responsibility), and crash-hardened writes with recovery. Extensions: batch-record export (PDF/CSV for GMP), multi-site deployment, machine binding, and online activation.
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The package includes FDA-related tooling: software/fda_application_generator.py, software/fda_application_helper.py, software/fda_response_generator.py, software/fda_form_platform.py, software/fda_download_server.py, and software/automated_fda_maker.py. These assist with generating FDA application documentation, form creation, and response handling for regulatory submissions.
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build_bluray.py creates a complete distributable package embedding Alchemy data, the drug database, user-authentication system, and launcher scripts for Windows/Linux. The package is AES-256 encrypted on disc; passphrase sent separately by email. build_aspirin_workflow.py provides an automated end-to-end workflow: download drug data → build Blu-ray package → generate aspirin recipe.
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Flask-based web UI at http://127.0.0.1:5000 with three tabs: (1) G-code dry-run — upload or paste G-code, click Run, view output; (2) Formula scale — pick formula and target mL, get BOM; (3) Batch run — upload run-list CSV, run batch production. Start with python software/simple_ui.py or start_simple_ui.bat. No subscription required.
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The disc contains approximately 168 files (per manifest) across the following categories:
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This package ships on a single Blu-ray disc, posted to the delivery address on your order. The archive on the disc is AES-256 encrypted; the passphrase is sent separately, by email, once the disc is despatched — so the disc alone is of no use to anyone who intercepts it.
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Discs are despatched by tracked, signed-for post. Allow 5 business days for mastering and verification before despatch.
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© 2026 Christopher Gabriel Brown
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