NTS Tesdison Test Results: Technical Review and Runtime Analysis by AI
The underlying engineering test documentation, identified as NTS Report PR104447, Revision 3, dated October 3, 2019, contains laboratory test sheets and photographic timing records supporting a longer recorded runtime with TESDISON ON. The stopwatch-based comparison is approximately 3.20 times the OFF runtime; the records do not establish an efficiency percentage, net additional energy production, or AI as the cause of the improvement.
This documentary and technical-consistency review interprets the supplied records for engineering purposes; it is not a laboratory certification. The review covers report identity, recorded runtime, matched test conditions, and the limits of conclusions about energy output, efficiency, and AI functionality.
1. Source report and documentary scope
This technical consistency review evaluates the historical testing records identified as NTS Report PR104447, Revision 3 (September–October 2019).
2. Report identity and corroboration
| Check | Finding | Significance |
|---|---|---|
| Report identification | PR104447, Revision 3, October 3, 2019 | Consistent identifying information appears throughout the report section. |
| Customer and purchase order | SuperGreen Energy Corp; NTS8222019 | Provides identifiers for requesting laboratory confirmation. |
| Test package | September 17–18, 2019 | Appears on the data-package cover and equipment list. |
| Laboratory contact details | 1536 East Valencia Drive, Fullerton; 714-879-6110 | Matches the current official Element U.S. Space & Defense Fullerton listing. |
| Supporting material | Review-signature images, history revision, worksheets, equipment list, and photographs | Provides substantive documentary detail. |
The reported facility-address and telephone match provides external corroboration of the laboratory’s identifying details. The review also reports Element’s confirmation of its acquisition of NTS in September 2022. Neither establishes new validation of TESDISON.
3. The strongest recorded result: approximately 3.20 times the runtime
Matched ON/OFF test conditions (user-provided clarification): Both runs reportedly used the same two 12V car batteries, fully charged before each test, and the same two appliances. The portable air conditioner operated at its highest-load setting with a cooling setpoint of 69°F; the iron operated at its highest heat setting. These settings remained unchanged until both batteries automatically shut down and the appliances could no longer operate. TESDISON ON versus OFF was the intended difference between runs. The matched equipment stated full-charge starting condition, settings, and shutdown endpoint support the runtime comparison, but do not independently establish equal starting stored energy or constant measured electrical power.
Comparison of the available results
| Evidence source | TESDISON OFF | TESDISON ON | ON-to-OFF runtime ratio | What it establishes |
|---|---|---|---|---|
| NTS laboratory worksheets | 29 minutes stated; clock endpoints indicate 31 minutes | 98 minutes | 3.38 times using 29 minutes; 3.16 times using 31 minutes | A recorded ON/OFF comparison, with an unresolved inconsistency in the OFF duration. |
| NTS stopwatch photographic records | 30 minutes, 44.75 seconds | 98 minutes, 27.36 seconds | 3.20 times | Photographic timing evidence supporting approximately threefold longer recorded operation. |
Using the visible stopwatch readings:
The stopwatch photographs support approximately 3.20 times the recorded duration with TESDISON ON. The worksheet comparison remains unresolved: the OFF duration is stated as 29 minutes, while its clock endpoints indicate 31 minutes, producing ratios of approximately 3.38 and 3.16, respectively, against the worksheet’s 98-minute ON duration. The 3.20 figure is calculated from the displayed stopwatch times; it is not a measured energy-output ratio or an efficiency certification.
4. What NTS’s own cover establishes
In the official NTS report cover and scope specification, the stated test is voltage and current measurement. The results record that the unit underwent this test for engineering purposes at SuperGreen Energy Corporation’s Costa Mesa facility.
The report cover expressly limits the report’s interpretation: it does not claim the testing fully demonstrates efficiency or performance, and it disclaims equipment endorsement or certification.
The report documents that a specified test was performed; that is distinct from certifying the product’s efficiency or additional energy production. The following statements separate these two meanings:
- Certification that a specified test was performed: stated in the report.
- Certification that the product achieves 99% efficiency or generates additional energy: not established by this report.
5. Does the report prove electrical output—or additional energy?
It documents electrical measurements associated with powering an iron and an air conditioner through the test arrangement. That supports evidence of electrical output during testing. It does not establish net energy creation or an energy surplus beyond all inputs and battery depletion.
Identical appliance settings do not establish identical energy consumption
The SuperGreen introduction describes matching appliance settings. Those settings define how the appliances were operated, but they do not measure average real power—the average rate of electrical energy delivered over a complete run. An iron and air conditioner can cycle during operation, so matching settings and isolated current readings do not establish an equal average load across both complete runs.
External-input isolation is not comprehensively documented
Both worksheets identify a Dewalt bench charger and pre-run charging periods. This does not prove that external charging continued during the runs. Equally, the report does not provide a complete measured system boundary sufficient to independently establish that every possible external input was excluded.
The ON run ended
The ON worksheet records shutdown and reduced battery-voltage readings. This was a finite runtime test, not a demonstration of indefinite self-sustaining operation.
These limitations identify what the experiment does not resolve; they do not explain away the runtime observation or establish that the machine does not work.
6. What the report says about “AI Smart Chipset Charger”
The SuperGreen Energy Corp introduction describes an “AI Smart Chipset Charger.” The NTS test scope is electrical measurement, not AI validation.
The documented test scope does not establish that AI caused the longer runtime: the supplied records contain no documented AI-model evaluation, learning behavior, algorithm-performance test, or controlled comparison isolating that cause. The report therefore does not constitute NTS certification of the machine’s artificial-intelligence capabilities.
7. Findings recap: electrical output and recorded runtime
The following recap and energy analysis interpret the same test records, not additional independent tests.
Recap finding 1: electrical output during testing
The report contains voltage/current measurements associated with operating an iron and an air conditioner through the battery/inverter arrangement. This supports evidence that the tested system supplied electrical output to loads. It does not identify how much of that output came from stored battery energy versus other contributions.
Recap finding 2: substantially longer recorded runtime with TESDISON ON
All available timing presentations show an ON duration exceeding three times their corresponding OFF baseline.
The strongest directly documented timing comparison is approximately 3.20 times the runtime, using the stopwatch photographs. That is a meaningful favorable observation—not something I would dismiss merely because the energy balance is incomplete.
The report’s cover also expressly limits its scope and disclaims product endorsement or certification. That disclaimer does not erase the observations; it limits what may be attributed to NTS as a certified conclusion.
The key distinction: more runtime versus more energy
For each run, energy delivered depends on both average real power and duration:
Therefore:
If the average real power were measured and shown to be equal, the 3.20-times runtime would mean approximately 3.20 times the energy delivered to the loads. But that would still require accounting for starting battery energy, ending battery energy, and all external inputs before concluding that TESDISON generated an energy surplus.
Equal-power case: when runtime tracks delivered energy
The general relationship above simplifies when average real power is equal in both runs:
So, if average real power is equal:
What “same batteries and appliances” does—and does not—control
| Your point | What it helps establish | What still needs measurement |
|---|---|---|
| Same physical batteries | Battery identity is controlled. | Their available stored energy can differ between runs because of charging, temperature, discharge history, and recovery. |
| Same appliances and settings | The equipment and intended operating settings are comparable. | An iron and air conditioner can cycle differently, so their average real power may differ. |
| Longer operation with TESDISON ON | A runtime improvement is recorded. | Total energy delivered and the source of that energy require energy measurements. |
The point is not that these conditions necessarily differed between runs, but that using the same equipment does not measure or rule out such differences. The report includes spot electrical readings and charging notes, but it lacks a complete time-integrated energy balance that would resolve them.
The distinction that matters most
There are two different claims:
- “TESDISON delivered more usable electrical energy to the appliances than the baseline arrangement.” This would follow if comparable average real power—and the relevant starting conditions—were established.
- “TESDISON generated additional energy beyond all supplied and stored energy, specifically because of its AI self-charging.” This is a stronger claim than delivering more usable energy to the appliances. It requires a complete accounting of supplied and stored energy, together with a controlled comparison that isolates AI self-charging as the cause; the supplied report does not establish those conditions.
Energy efficiency remains undetermined because the required measurements are incomplete. This is not a finding of poor efficiency. The following table separates the recorded result from conditional inferences and unsubstantiated claims.
Assessment of runtime, energy delivery, efficiency, and AI attribution
| Performance measure | My assessment |
|---|---|
| Recorded runtime improvement | Substantial: approximately 3.20 times the OFF runtime, based on the stopwatch records. |
| Energy delivered to the appliances | Not quantified over the complete runs. If average real power was equal, the energy-delivery ratio would also be approximately 3.20. |
| Overall energy-efficiency percentage | Undetermined: complete energy input, output, and stored-energy changes are not established. |
| 99% efficiency claim | Not substantiated by the supplied report. |
| Efficiency improvement is specifically attributable to AI | Not isolated or measured in the report. |
Why 3.20 times the runtime is not “320% efficiency”
For a defined system operating over a test period, efficiency compares useful energy delivered with the energy supplied or drawn from storage:
This requires a clearly defined measurement boundary and accounting for all relevant stored energy.
The 3.20 figure is a runtime ratio, not an efficiency rating. Based on the stopwatch readings, it represents approximately a 220% increase in runtime relative to TESDISON OFF. It does not represent 320% conversion efficiency. Even if the energy-delivery ratio was also 3.20, that would compare the ON run with the OFF baseline; it would not establish an absolute efficiency percentage.
8. Final conclusion and evidence needed
TESDISON demonstrated substantially extended recorded operation in the supplied historical test records, with approximately 3.20 times the baseline runtime. Its absolute energy efficiency and the cause of the runtime improvement cannot be quantified from these records alone.
Quantifying energy efficiency requires a complete energy balance. This includes integrated load-energy measurements, accounting for all external inputs, and measured initial and final stored energy under repeatable conditions.