Guides
SQL AI: Audit Named Views, Not One Query (2026)
SQL AI for agents is named intermediate views you can audit—not one giant query. Load tables, step the plan, and reopen the trail before you trust a number.
Read articleName each intermediate SQL view an agent can replay—instead of one giant generated query.
SQL AI for agents is named intermediate views you can audit—not one giant query. Load tables, step the plan, and reopen the trail before you trust a number.
Read articleA SQL statement builder for agents names each intermediate view so you can point at the broken step. Build one statement, replay it, then take the next join.
Read articleName the load, refuse an in-memory frame, then reopen the next step. Agent SQL tools attach tables; they do not invent a scratch frame.
Read articleInfiniSQL is named views you can reopen, not one translated query. Load the table, name each step, then point at the break before you keep the number.
Read articlePandas vs SQL is a trail test: keep the join in a named SQL view. Refuse a pandas-first rewrite, then export the frame only after the named table exists.
Read articleSQL scripting is a named-view chain, not a 200-line dump. Script three steps, fail one on purpose, then point at the broken view before you keep the number.
Read articlePandas SQL work belongs in named tables. Reject a Python-first rewrite that hides the grain. Keep compute in SQL, then export only after the table is named.
Read articleSQL GPT writes a query from a prompt. Compare the blob with named views. Keep the trail you can replay when a second grain appears—refuse a longer dump.
Read articleA SQL helper reopens one named view so a reviewer can point. Refuse autocomplete that pastes a CTE stack. Open the name, replay it, then keep the trail.
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