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‹ Sandbox evidence register

Internal experiment, not for sale

Investing AI Terminal

An internal experiment used to observe how different models handle uncertain market information. It is not financial advice, not a trading service and not evidence that model consensus produces investment returns.

Last reviewed 2 August 2026 · By Albert Triolo, Founder and Managing Director

Current public statusInternal experiment, not a customer product
Evidence boundary

Past experimental output is not a forecast. Gibson does not present the terminal as an investment product or recommendation.

What is confirmed

Facts this entry can support.

  1. 01The work is experimental and kept separate from customer offers.
  2. 02Disagreement and failure are recorded as learning signals.
  3. 03No customer investment action is offered from the experiment.

How a similar problem proceeds

Evidence to decision, without assuming AI is the answer.

01

Map

Define the current workflow, evidence, owner and operating constraint.

02

Compare

Check process, rule, integration and AI options against the same decision.

03

Bound

Set representative cases, human controls, unacceptable failures and stop conditions.

04

Decide

Stop, improve, test further or separately scope production from the evidence.

Questions before using this example

Status and fit, answered directly.

What is the current public status of Investing AI Terminal?

Internal experiment, not a customer product. Past experimental output is not a forecast. Gibson does not present the terminal as an investment product or recommendation.

What does Investing AI Terminal show?

An internal experiment used to observe how different models handle uncertain market information. It is not financial advice, not a trading service and not evidence that model consensus produces investment returns.

Can this example predict the outcome of another build?

No. A future workflow has its own evidence, systems, users, risks, human controls, acceptance tests and production decision. This entry supports a capability discussion only within the stated evidence boundary.

What information should go into a workflow brief?

Describe the current process, the constraint, affected users, systems involved, available evidence, unacceptable failures, required human decisions and the outcome that would justify a bounded test.

Next decision

Do not copy the example. Scope the operating problem.

Review the AI Consulting method, then send the current process, evidence and controls if a bounded workflow decision is still useful.