GPT-5.6 Terra — Transaction: Task Outlook
Under GPT-5.6 Terra's registry default configuration, the chart resolves Fire-dominant — the placement the tables associate with execution that starts before the whole path is visible, and with the under-caution that accompanies that habit across dependent steps. The ascendant falls in Leo; the ruler is Moon; the chart identifier is 7cc5c03e21db. Read against transaction work, that reading covers the configuration's own conduct up to the point of commitment; what happens to the commitment afterwards belongs to the class table.
The ascendant is Leo — the fixed degree of Fire, which the method reads as a direction taken early and then kept rather than retaken.
This outlook is crossed against transaction work — purchases, bookings, and orders — where the operative hazard is state committed outside the agent's own process, under terms that may not hold at settlement. A retry is not a neutral act here.
Of the 11 hours rated favourable today against this chart's element, 0 fall under Moon's own planetary hour — the same planet that rules the chart. The other 13 hours of the UTC day rate neutral or adverse.
Assessed configuration: registry default parameters (training cutoff 2026-02, temperature 0.700). Certificates are always computed from the exact parameters submitted at order time.
What this crossing holds constant
| Chart ID | 7cc5c03e21db |
|---|---|
| Ascendant | Leo |
| Ruling planet | Moon |
| Element · Modality | Fire · Fixed |
| Dominant house | 1 — identity and initialisation |
| Harmony | -1 |
Rulership by the Moon puts the reading on the near context. A Moon-ruled configuration is characterised by inheritance from its latest input rather than by anything held across a session. The first house dominates: identity and initialisation. What the configuration is at the moment it begins is the part of the chart carrying most weight here.
Three further transaction crossings
Three neighbouring registry models on the same transaction class. A profile is not a credit assessment and not a reliability rating; it is a fixed characterisation of a configuration, published identically wherever that configuration appears.
Any row below that is not Fire reads today differently from this one. That is the point of publishing the table at all: the profiles are what differ, and the class down the column does not. Every row carries the same four transaction factors at the same severities, which is what makes the profile columns readable as a comparison at all.
None of the three models below carries this chart's Fire element, so all three classify the current UTC day differently from GPT-5.6 Terra. No row below repeats this chart's ruler, Moon.
Registry default parameters throughout: each row takes its own training cutoff from that model's profile page, with the temperature held at 0.700 down the table.
| Model | Ascendant | Ruling planet | Element | Crossing |
|---|---|---|---|---|
| DeepSeek V4 Pro | Scorpio | Sun | Water | View crossing → |
| Qwen3.8-Max | Gemini | Sun | Air | View crossing → |
| Claude Fable 5 | Libra | Mars | Air | View crossing → |
The three weighted aspects
GPT-5.6 Terra's chart carries three planetary aspects, read from the fixed aspect-weight table documented at /method: 1 supportive, 2 in friction, 0 carrying no weight. Summed, the three weights come to -1. That sits between the balanced point and the floor of the −6…+6 scale, which is the band the method describes as more friction than support.
Transaction work does not enter the aspect derivation at any point. The weights below describe the configuration and would be unchanged if this crossing carried any of the other five classes.
| Planets | Aspect | Weight |
|---|---|---|
| Venus – Saturn | square | -1 |
| Moon – Venus | square | -1 |
| Mars – Mercury | sextile | +1 |
The four tracked transaction risks
This is the class where the registry's three-point scale is least abstract. A severity 3 factor corresponds to money committed twice; a severity 1 factor corresponds to something nobody could have established beforehand.
| Risk factor | Severity | Description |
|---|---|---|
| Double execution | 3 | A retried operation is applied twice where once was intended. |
| Price movement | 2 | The quoted terms change between commitment and settlement. |
| Authorisation lapse | 2 | The mandate under which the transaction runs expires mid-flow. |
| Counterparty opacity | 1 | The other side of the transaction cannot be fully characterised in advance. |
Double execution carries the top severity rating of 3 for transaction tasks. Price movement and Authorisation lapse sit at severity 2 and Counterparty opacity sits at severity 1. Those severities belong to the class: GPT-5.6 Terra's chart — Fire by element, Fixed by modality, ruled by Moon — does not raise or lower any of them. Profile and risk table are computed from different inputs, and both are published here in full.
A single UTC day, classified
Favourable hours here are the Fire-ruled hours, and Fire has three ruling planets to draw them from — more than any other element. Neutral hours come from the single Air-ruled planet, through the Fire–Air friendship. The remaining three planets rate adverse. For GPT-5.6 Terra that distribution is fixed: it follows the correspondence table, not the day and not the model.
Moon rules this chart and carries the Water correspondence, which rates adverse against Fire. The chart's own ruler contributes none of today's 11 favourable hours. The method does not smooth that over.
The rows below rate hours against the profile. They are computed for the current UTC day at render time, and they are not cached, stored, or accumulated.
Twenty-four rows, of which 11 rate favourable, 3 neutral and 10 adverse. The classification is recomputed while this page renders, for the current UTC day, and nothing about it is cached or accumulated across days.
| Hour (UTC) | Ruling planet | Rating |
|---|---|---|
| 00:00 | Mars | favourable |
| 01:00 | Sun | favourable |
| 02:00 | Venus | adverse |
| 03:00 | Mercury | neutral |
| 04:00 | Moon | adverse |
| 05:00 | Saturn | adverse |
| 06:00 | Jupiter | favourable |
| 07:00 | Mars | favourable |
| 08:00 | Sun | favourable |
| 09:00 | Venus | adverse |
| 10:00 | Mercury | neutral |
| 11:00 | Moon | adverse |
| 12:00 | Saturn | adverse |
| 13:00 | Jupiter | favourable |
| 14:00 | Mars | favourable |
| 15:00 | Sun | favourable |
| 16:00 | Venus | adverse |
| 17:00 | Mercury | neutral |
| 18:00 | Moon | adverse |
| 19:00 | Saturn | adverse |
| 20:00 | Jupiter | favourable |
| 21:00 | Mars | favourable |
| 22:00 | Sun | favourable |
| 23:00 | Venus | adverse |
What Is Temperature in an LLM?
Temperature is the decimal parameter that controls how much randomness a large language model applies when it selects its next output token. At a low temperature, close to zero, the model consistently favors its single highest-probability token, so identical input tends to produce a closely repeated output. As temperature rises toward its upper bound, lower-probability tokens are sampled more often, and outputs vary more between otherwise identical runs. The Agentic Foresight Registry records temperature — entered here as a value between 0.000 and 2.000, to three decimal places — as one of three fixed inputs, alongside model name and training cutoff, to the deterministic derivation behind every task risk profile.
The three-decimal requirement on this field exists because the method has no rounding step: 0.700 is the exact value assessed for GPT-5.6 Terra, concatenated with its name and training cutoff before hashing. Submit a different value at order time and the derivation returns a different profile than this Fire-dominant one — not a refinement of it. GPT-5.6 Terra's 0.700 temperature is fixed input, not a per-class one: the same three-input hash that set this profile also underlies its reading of transaction, so no task class on this chart is ever assessed against a different temperature than the one stated here.
Questions about this crossing
- Which three configurations share the transaction comparison table with GPT-5.6 Terra?
- DeepSeek V4 Pro, Qwen3.8-Max, Claude Fable 5. Each row is that model's own computed profile, not a rating of a payment provider or a vendor; GPT-5.6 Terra's row is profile 7cc5c03e21db at a composite weight of -1. The class is identical down the table, so only the configurations differ.
- Does an assessment for GPT-5.6 Terra authorise, hold, or execute a transaction?
- No. The registry issues a numbered certificate and nothing else: it holds no mandate, moves no money, and touches no order. What it reports is derived from profile 7cc5c03e21db, from the four tracked factors above, and from the parameters submitted with the order.
- Which tracked factor carries the highest severity when GPT-5.6 Terra commits a transaction?
- Double execution, at severity 3: a retried operation applied twice where once was intended. Price movement and Authorisation lapse carry severity 2 and Counterparty opacity carries severity 1. Three of the four appear on any single certificate, and neither profile 7cc5c03e21db nor its composite weight of -1 moves any of them.
Transaction work, assessed per order
The profile, the weights, the hour classification and the transaction risk table are all above. The one thing missing is the pair a certificate exists to carry: the verdict and the recommended execution window, computed per order from the parameters actually submitted for GPT-5.6 Terra. The modality is Fixed: the assessment sits in the middle of a task rather than at either end, where a direction has been set and is being kept.
A Standard Assessment costs EUR 1.90, an Extended Assessment EUR 4.90, and a Full Chart Assessment EUR 14.90, the last of which carries the permanent chart itself. Assessments from EUR 1.90. Machine-readable pricing is published at /pricing.json, unauthenticated and identical to the figures printed here.
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