Four different questions.
Four different kinds of product judgment.
Proofline asks whether an AI answer deserves trust. Tonight asks how personalization should optimize a session. Threadline asks what information deserves scarce attention. Aperture asks which enterprise AI investments deserve to scale.
Proofline
How should AI answer when sounding right is not good enough?
When a support question touches payments, APIs, policies or account behavior, a fluent answer is not enough. Proofline retrieves approved evidence, shows what supports the answer, refuses when the evidence is insufficient, and hands a complete case to a human when the question is account-specific or high-risk.
OPEN THE PRODUCT DECISION RECORD ↗07 / 09 · PersonalizationTonight
How do you optimize satisfaction without turning personalization into repetitive engagement?
Streaming solved access. It did not fully solve choosing. Tonight asks what fits this session—time, company, mood, energy and appetite for novelty—then combines that with long-term taste and catalog truth to offer a deliberately small shortlist.
OPEN THE PRODUCT DECISION RECORD ↗08 / 09 · AttentionThreadline
How do you decide what information deserves someone's limited attention?
Threadline is not another feed. It helps a reader maintain an evolving understanding of a topic: what is genuinely new, what contradicts prior thinking, which claims have evidence, what is repetitive, and which four things are worth reading now.
OPEN THE PRODUCT DECISION RECORD ↗09 / 09 · Enterprise AIAperture AI
How does an enterprise decide which AI investments deserve to scale?
A company buys copilots, connects model APIs, launches internal agents and lets teams experiment. Six months later, leadership cannot answer what AI exists, who owns it, what it costs, how good it is, what data it touches, or which investments deserve to scale. Aperture turns that fragmented estate into governed decisions.
OPEN THE PRODUCT DECISION RECORD ↗