The load-bearing question in technology is almost always the same: has this been demonstrated, replicated by someone with no stake, or only announced? This is research for the product lead, the hardware analyst and the security researcher that grades the claim against that ladder first, then walks what it would take to ship — the fabrication and packaging chain, the barriers that are engineering effort versus unsolved science, and where the research is genuinely being taken up.
Vendors have delivered real, growing product revenue lines (Salesforce's Agentforce, IBM's GenAI book of business, Microsoft's AI run rate), but the broader promise that this spending would move enterprise earnings has not…
Real technology research from the public library, shown as it was published. The stamps and the sources are the product.
Each one is a question a specialist actually brings, and each is answered by a scan this domain carries — not a generic report with the name swapped in.
“Has this capability been demonstrated, replicated by someone with no stake, or only announced?”
“What sits in the fabrication and packaging chain behind this part, and where is it single-sourced?”
“Which vulnerabilities in this stack are actually being exploited, not merely published?”
“What do the papers and the shipped releases say this lab has actually done, as against what it announced?”
Every judgment carries a grade for how it is actually known, every figure carries who reported it, and the structured record below is read on every scan before the model writes a word.
37 first-tier sources for technology, and 19 blocked outright. Search results are one input; every figure is graded on where it came from, not on being found. How the grades work →
Scale here is strategic weight — the markets, the platforms and the standards a connection touches — and Complexity is how far the claim still sits from an independent demonstration.
Small strategic impact, easy to understand. Existing technology dynamics explain the connection.
Meaningful market weight and the implications are clear. Existing capabilities and partnerships apply.
Meaningful stakes with real uncertainty. The disruption potential is unclear, the technology trajectory is uncertain, or adoption could go several directions.
Very high stakes at platform or ecosystem level. The magnitude makes this one of the most important connections, regardless of complexity.
No precedent. A fundamental shift in the technology landscape that existing business models may not explain.
When market/strategic impact grows to platform or ecosystem scale, FLOW C reclassifies to FLOW D immediately. The priority shifts from 'analyze carefully' to 'mobilize response.'
Large market/strategic impact means FLOW D regardless of adoption complexity. A straightforward technology shift affecting an entire industry is FLOW D, not FLOW A.
FLOW S requires conditions that fall entirely outside existing technology paradigms — max 1-2 per analysis. The test: do existing business models and competitive playbooks apply at all?
One vocabulary across every domain — a FLOW D here reads at the same weight as a FLOW D in any other — so the classification travels, and so does your judgment. The framework in full →
7 ways in, then the rest of the catalog organised as the Technology workbench organises it — establish the background, map the argument, work the record, analyse the connections, decide what to do. Every one comes back graded, sourced and exportable.
Don’t know which one you need? The Router reads a plain question and picks one; the Planner takes a goal and designs a linked sequence. Every completed scan opens onto its own follow-ups — ask it a question, re-check what has changed, red-team its judgments, or push a signal onto your watchboard.
And the Studio turns a set of technology scans into a planned, researched, edited report or book. Every format →
Open the technology workbench with a product, a lab, a chip or a stack. What comes back says what has been shown, by whom, and what has not.