California · AI-native products
Westcoast Certified LLC builds two products. ThroughLine is a workspace for running many Claude and Codex agents at once while one person stays in charge of them. The second is an early-stage continuous decision system for investment positions: live data, inexpensive machine judgment, tested decision rules and controlled execution, working together so a position is reassessed as evidence arrives instead of when someone remembers to look.
Both products come from the same conviction: AI is only useful in real work when software can hand it the right context, check what it did, and keep it inside limits a person set.
Product one
ThroughLine is where we run and supervise AI agents. Many Claude and Codex agents work in parallel, each in its own visible thread, and one person directs them from a Mac, a Linux workstation or an iPhone.
Product two
Software that keeps reassessing investment positions as new evidence arrives, rather than waiting for a scheduled review. It watches live prices and liquidity, reads filings and news through narrow machine questions, applies tested rules, and places orders only inside limits set in protected code.
It is being built and measured against real, timestamped decisions without placing orders. It is not offered to the public and is not investment advice.
The idea behind product two, and the discipline it has to earn its place under.
In the 1980s, traders carrying handheld computers kept recalculating prices while everyone else read from pricing sheets that went stale by the hour. The equivalent today is continuous reassessment of a position while others revisit their original thesis now and then.
What changed is the cost of interpretation. Typed decision models such as TypeSafe's Jev answer narrow questions about text for about four cents per million tokens read. That makes it practical to put judgment inside ordinary software and ask it continuously: does this filing turn a letter of intent into a signed agreement? Does this announcement change a milestone or repeat old news? Which holdings does this event touch? Is it important enough for deeper analysis?
We do not ask a model whether to buy or sell. Confidence that a document means something is not the probability that an asset will rise, and neither is the probability of a profitable trade after costs. So the system turns filings and news into consistent, measurable observations, keeps every calculation in code, and lets results decide which observations actually improve decisions.
More frequent observation is the immediate goal. More frequent trading has to earn its place: every policy is compared on the same real decision stream, after fees, spread, slippage and data costs, including the losses, the false exits and the trades it chose not to make, against a plain buy-and-hold baseline.
The model reads and classifies. It never decides a trade on its own.
Prices, quantities, thresholds and limits are computed and enforced by software, not estimated by a model.
Wrong-instrument and stale-data checks come before any judgment is made faster.
Rules are tested on held-out history and live observation, not tuned until they explain yesterday.
AI arrives capable, but it arrives blank. Whether it produces anything useful depends on whether a company can hand it the things that were never written down.
When an agent gets something wrong and is corrected, the correction is captured as evidence rather than repeated. Over time these records mark out what this company will and will not accept, and every new agent starts with them.
What each decision is for is written in a form software can read, so an agent can reach the right answer to a question nobody wrote out in advance. Work is checked by something other than whatever produced it; nothing counts as finished on its author's word alone.
Both run inside ThroughLine every day. We are gauging outside interest before committing to public availability. If one of them solves a problem you have, tell us.
Turns a video of any length into a document another system can learn from. It reads the visual frames as well as the audio, so it works on slide decks, screen recordings, silent walkthroughs and panels with several speakers. The result is an onboarding document, not a summary.
Takes rough dictated input and returns a clearer version without changing what was meant. It does not harden hedged statements into absolute ones or drop the qualifications that carry the meaning, so "I am considering this" never turns into "do this."
Product questions, partnerships, and API access requests all reach the founder directly.
Westcoast Certified began in 2022 buying consumer electronics for wholesalers. That trade is paused; the company now works full time on the software described above. Send the form below and we will reply to the address you leave, or call.