Notes on AI that helps teams do the work.
Company context, practical team support, approved workflows, and the evidence needed to judge results. Explore product and deployment guides alongside earlier research, with its original scope and dates.
Field notes
Showing 73-90 of 113
Jul 3, 2026·7 min readThe human line in AI hiring is not a task list. It is an approval gate.
AI recruiting guides ask which tasks should stay human. The question that matters is narrower: who approves the action before it executes.
Jul 2, 2026·8 min readThe price should follow the proof
Enterprise AI vendors ask buyers to trust an outcome before it is priced. A Decision Replay gives both sides evidence before a production scope is quoted.
Jul 1, 2026·7 min readWhat is governed outcome evidence?
Governed outcome evidence connects company context, judgments, and measured results. Explore the proposed model, validation limits, and customer ownership.
Jun 30, 2026·9 min readFrom requisition to hire: what the 38-day result does and does not show
One carrier's requisition-to-hire time moved from 127 to 38 days. Keep that measure separate from contract-to-production ramp and modeled value.
Jun 29, 2026·9 min readYou can't read the code. You still have to sign the contract.
The senior buyer who can't audit model weights still has to defend the purchase. Three inspection surfaces that work without a technical background.
Jun 28, 2026·9 min readRetention is the enterprise hiring outcome AI still has to prove.
AI hiring and retention claims require termination dates, censoring rules, a credible comparator, and a trace from recommendation to employment outcome.
Jun 28, 2026·9 min readThe proposal arrives pre-priced
An AI proposal should expose the cost of acting, waiting, and uncertainty where a baseline supports it. Missing evidence can be the next task.
Jun 27, 2026·9 min readThe status quo has a price
Price the current hiring workflow using your own ramp and production records. Reference-study estimates can inform a scenario, but cannot establish your savings.
Jun 26, 2026·7 min readInterview signal vs production signal
A structured interview captures useful pre-hire evidence. Production data adds the outcome record that no interview can observe before the hire.
Jun 25, 2026·4 min readWhat is agentic AI?
Agentic AI can choose steps and use tools toward a goal. It may start from a request or trigger; judge it by verified work and controlled authority.
Jun 23, 2026·9 min readA skills taxonomy is a photo. A context graph is a film.
Skills taxonomies fail not because they go stale but because they are the wrong data type. A taxonomy takes a photo. A context graph reads the film.
Jun 22, 2026·9 min readThe second signer: why regulated AI needs two humans on one decision
Every AI vendor says their system puts humans in the loop. A second signer is the mechanism that makes that claim auditable, queryable, and defensible in a regulated workflow.
Jun 20, 2026·2 min readHow do we move an AI pilot into everyday use?
A polished AI demo is an opening test. Production needs representative cases, permissions, exception owners, cost limits, monitoring, and a rollback path.
Jun 19, 2026·7 min readAI recruiting software made screening faster. It did not make it predictive.
A carrier study tests resume and assessment signals against production outcomes. Its findings are scoped to the population, method, and measured milestone.
Jun 17, 2026·3 min readHow do we test AI without letting it change anything?
Test AI with historical replay, read-only analysis, sandbox actions, and live shadow evaluation. Keep candidate action routes disabled until review.
Jun 16, 2026·6 min readWhat is AI governance?
AI governance assigns responsibility, limits actions, checks results, and defines intervention. Use one workflow to test a vendor’s claims.
Jun 15, 2026·3 min readCan AI spot problems without being asked?
AI can check agreed sources for changes, connect the evidence, and bring a ranked proposal to an owner. The trigger, urgency, and authority must be visible.
Jun 14, 2026·9 min readThe gap in the System of Intelligence thesis
a16z named the right category. The thesis leaves one constraint unstated. For regulated enterprise, that constraint determines whether a deal closes at all.