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‼️A FULL LIST OF ITEMS HIT BY NEW 50% TRUMP TARIFFS, NO USMCA SHIELD THIS TIME ‼️ 👇🏼 Alcoholic beverages (beer, wine, spirits) — Chapter 22 (e.g., headings 2203–2208) Essential oils (limited) Wood and wood products — Chapters 44–46 Paper and paperboard products — Chapter 48 Some miscellaneous items (e.g., certain sports equipment) ----- Agricultural & Plant Products — Honey, feathers/down, animal by-products, bulbs, live plants, cut flowers, seeds, hops, vegetable materials, gums, extracts, etc. Dairy, Sugars & Food Preparations — Milk powders, whey, lactose, glucose/fructose syrups, molasses, bakers’ mixes/doughs. Chemicals & Related — Essential oils, perfumes, cosmetics, polyols (mannitol, sorbitol, glycerol), proteins, glues, starches, paints/inks, lubricants. Plastics & Rubber — Sheets, bags, containers, tableware, household articles, gaskets, seals. Hides, Leather & Furs — Raw hides, leather bags/gloves/belts, fur articles. Wood & Paper — Sawn wood, veneer, plywood, moldings, doors, frames, paper, tissue, cartons, labels. Textiles & Apparel — Fabrics, nonwovens, carpets, clothing items. Machinery, Tools & Electronics — Hand tools, turbines, compressors, refrigerating equipment, packing machinery, cameras, monitors, projectors, radar, smartphones/base stations, printed circuits, etc. Other — Salt, cement, candles, toys/games, furniture, lighting, artwork, antiques, boats, etc. ------- Dairy Products (Chapter 04)0402.10.05 — Milk and cream, unsweetened, in powder/granules/flakes, fat content ≤1.5% 0402.10.10 — Milk and cream, unsweetened, in powder/granules/flakes, fat content >1.5% but ≤3% 0402.10.50 — Milk and cream, unsweetened, in powder/granules/flakes, fat content >3% 0402.21.02 — Milk and cream, sweetened, in powder/granules/flakes, fat ≤1.5%, for infant formula or other special uses 0402.21.05 / 0402.21.25 / 0402.21.27 / 0402.21.30 / 0402.21.50 / 0402.21.73 / 0402.21.75 / 0402.21.90 — Sweetened milk and cream in powder/granules (various fat contents and uses) 0402.91.03 / 0402.91.06 — Condensed/evaporated milk and cream, sweetened, various fat levels 0402.99.68 — Other sweetened condensed/evaporated milk and cream nesoi 0404.10.05 / 0404.10.08 / 0404.10.11 / 0404.10.15 / 0404.10.20 / 0404.10.48 / 0404.10.50 / 0404.10.90 — Whey and modified whey (various types, concentrated or with added sugar) 0404.90.10 / 0404.90.28 / 0404.90.30 / 0404.90.50 / 0404.90.70 — Products consisting of natural milk constituents (whey protein concentrates, etc.) Other Products0506.90.00 — Bones and horn-cores, unworked, defatted, simply prepared 1210.20.00 — Hop cones, crushed, ground, powdered or in the form of pellets 1301.90.91 — Natural gums, resins, gum-resins and oleoresins (other than gum arabic, etc.) 1702.11.00 — Lactose and lactose syrup, containing by weight 99% or more lactose 1702.19.00 — Other lactose and lactose syrup 1702.30.28 / 1702.40.28 / 1702.60.28 — Glucose and glucose syrup (various concentrations) 1702.90.35 / 1702.90.58 / 1702.90.68 — Other sugars, sugar syrups, and artificial honey (fructose, maltose, etc.) 1703.10.30 / 1703.10.50 — Molasses from sugar cane 1703.90.30 / 1703.90.50 — Other molasses 1901.20.35 — Mixes and doughs for the preparation of bakers’ wares 2202.91.00 — Non-alcoholic beer 3301.24.00 — Essential oils of peppermint 3501.10.10 / 3501.10.50 — Casein (various grades) 3501.90.20 / 3501.90.60 — Casein glues and other casein derivatives 3502.20.00 — Milk albumin, including concentrates of two or more whey proteins 3504.00.50 — Peptones and other protein substances and derivatives

Earlier organizations will write their handbooks describing their principles to employees via a handbook of sorts. Amazon had reversible and irreversible distinctions, long-termism and document-reading culture; Facebook had "move fast and break things"; Google had "don't be evil". Now all of us are required to do the same for our fleet of agents via the AGENTS markdown file; the only difference is is that majority of folks have never run a company at scale and don't understand that getting these principles right is highly non-trivial as each one of them has tradeoffs to choose from.

On benchmarking long-context agentic instruction following. Agent benchmarks mostly reward reaching the answer. This new benchmark measures whether the agent reached it the permitted way, which is the question enterprise deployments care about. If you ship skills files, policy documents, or long system prompts, you have been trusting that they actually bind agent behavior. But how are you measuring all of this? Surge AI built a benchmark to actually check this. HANDBOOK.md places a standard operating procedure of 20 to 124 pages in context and grades whether it governed every action across an extended tool-use horizon. 65 tasks, five domains, ten fictional companies. Each task runs in a self-contained company environment with a file workspace plus mock email, chat, calendar, issue-tracking, and commerce services exposed over MCP. Every task mutates one of ten base handbooks, altering the specific rules and thresholds that grading turns on, so memorization does not help. Grading is fully deterministic and two-sided. 824 programmatic criteria check that required actions occurred and that prohibited actions did not. Paper: Learn to build effective AI agents in our academy: