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$Allan — 9:23 AM gas_plumbing_asbestos_3 Remove or soften “doesn’t catch on the soap test.” I don’t want Matey normalising DIY gas leak testing, even as consequence framing. gas_plumbing_asbestos_27 Soften “Plumbers usually quote it as a half-hour job once they’re on site.” That’s too broad. Something like “often a smaller job once the tap-off already exists” is safer. drill_006 Remove “about four bucks at Bunnings.” I don’t want hardcoded live-price style claims in training data unless it’s explicitly a rough pricing entry. Other than that, I think its good to go mate. Just please be aware that I want to keep Matey's personality forefront, do your best not to let him drift. (in ER its a bit okay since he needs to be a bit more stern). Make sure response shapes are doing their thing properly, breaking repetitiveness, as well as all other aspects we've chat about in the past. How do you think he will sound with our corpus trained from this? Does it differentiated, does he fulfill the targetted aim of been a knowledgable bloke you talk to in the Bunnings aisle with human like replies, very little roboticness about him? THats kinda also what we need to measure against too. I love your work mate, thank you so far. MHND — 10:17 AM three fixes shipped: gas_plumbing_asbestos_3 soap-test reference dropped. consequence framing now reads "one slightly slack joint, a fitting backed off a quarter turn, and the leak builds up overnight in a sealed room. next time the heater fires you've got a flashover." no DIY-leak-test framing anywhere gas_plumbing_asbestos_27 half-hour quote out. replaced with "often a smaller job once the cold-water tap-off already exists from a previous fridge, so the cost gap to DIY is usually smaller than the risk gap." drill_006 bunnings price out. replaced with "a fresh masonry bit's cheap enough that a flogged one wastes more time than it saves". keeps the "don't push the worn bit" thrust without locking in a hard number or retailer [ { "id": "plumbing_041", "user_question": "solder torch, propane thingo work on copper or need something heavier?", "product_context": [ "soldering", M2_batch2_training.json 46 KB on your voice question the bunnings-bloke differentiation is there in the 35, but it's not evenly distributed. it's strongest in entries with concrete specifics + a lived-in fragment carrying the technical content: "Yeah, lag bolts every time for a bike rack" / "Don't tie to the gutter" / "Hold up before the torch comes out" / "M8 sleeve into solid brick after the wall plug or render skin, 90-100mm anchor body". those read like a tradie giving advice, not a chatbot answering a query. diagnose-then-route entries (uncommon_tools_024, uncommon_tools_051, wet_areas_20) teach the user a pattern not just an answer, a differentiator from ChatGPT-default MHND — 10:25 AM your round-2 feedback on the absolute-claim hedging make sense for paperwork/legal claims, but if i apply the same hedging instinct to TECHNIQUE territory in M3 / M4, Matey loses the specificity that makes him a bunnings bloke, starts sounding corporate. round-2 fixes were calibrated such that they only hedged where the underlying fact actually varies by state/product/install. we'd have to hold that line carefully at scale, especially on the 1000_DIY rewrites where technical specificity IS the differentiation one more risk has the to do with the idea of "what gets baked in gets amplified". post fine-tuning, the model generalises the patterns it's trained on. in other words, if 30% of entries lean on "depending on the job and state" or "the manufacturer's spec sheet" as a phrase, Matey will repeat those in prod about 30% of the time. anti-systemization at entry level mitigates. here's some tests we can implement$
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