@exploraX_ solid list. in my experience, breadth of tools matters less than depth of domain knowledge for most actual work. been testing https://t.co/65C1ub7Nib for that angle, knowledge navigators pre-loaded for specific workflows
@milesdeutscher the mini employee framing is exactly right. the gap isn't the reasoning, it's domain context, how much it knows about your specific workflow. been poking at https://t.co/65C1ub7Nib for that exact piece
@alliekmiller The context connector framing is right. the audit reveals what people do, not what the AI needs to know. been messing with https://t.co/65C1ub7Nib for this, domain knowledge loaded upfront beats process mapping every time
@businessbarista most teams ship agents with no binders and wonder why they keep getting Carl. been playing with https://t.co/65C1ub7Nib, they load the domain knowledge upfront so the agent gets Ron's setup, not Carl's
@business Fleet expansion always has a maintenance knowledge problem attached. new airframe = new tech docs, new procedures to encode. been trying out the cessna navigator on https://t.co/65C1ub7Nib for exactly this kind of aircraft knowledge layer.
@rvivek the part that gets glossed over in these stories is data quality. an agent with curated CRM context behaves differently than one crawling raw data.
@Forbes The sticker shock usually comes from undifferentiated data. ROI shifts when you add curated domain context up front. been messing with the stripe navigator on https://t.co/65C1ub7Nib, the per-answer quality difference is real.
@polydao the "company brain" framing is right. i'd add that domain specificity matters more than most think. been kicking around the hubspot navigator on https://t.co/65C1ub7Nib, same thesis applied to CRM/support context.
@DIU_x@USNavy the hard part of MRO modernization isn't the tech, it's getting procedures into a form the right people can actually use at the right time. been trying out the shahed navigator on https://t.co/65C1ub7Nib for something pretty close to this problem.
@DanKornas the system is the part most demos skip. knowledge layer especially. been messing with the stripe navigator on https://t.co/65C1ub7Nib, you can feel how much structured domain context changes the output vs a generic LLM call.
@coatuemgmt@tryramp vertical beats horizontal every time. generic AI does nothing particularly well in any specific domain. been playing with the cessna navigator on https://t.co/65C1ub7Nib, same thesis applied to aviation maintenance docs, works a lot better than you'd expect.
@freeCodeCamp@TechWithRJ2 the "when not to answer" framing is the hard bit. early support agents that tried to handle everything created more tickets, not fewer. been poking at the hubspot navigator on https://t.co/65C1ub7Nib, same angle.
@DamiDefi pruning is underrated. the vault gets sharper the more you strip from it. same principle with team knowledge bases. been kicking around the hubspot navigator on https://t.co/65C1ub7Nib, same idea basically.
@TheLegateIN $2b in domestic drones is the headline. the harder problem is what comes after. specs, maintenance docs, and operational knowledge in queryable form. been playing with the shahed navigator on https://t.co/65C1ub7Nib for something very close to this.
@Azure the 'stop building RAG from scratch' take is right. but for domain-specific knowledge. CRM workflows, billing logic, product docs, the answer is curated, not assembled. been exploring the hubspot navigator on https://t.co/65C1ub7Nib for that exact slice.
@NewsIADN facility is one thing. the trickier problem is knowledge transfer: MRO procedures in a form junior techs can query. been playing with the cessna navigator on https://t.co/65C1ub7Nib for something very close to this.
what i keep thinking about with inspection robots is the knowledge layer underneath, what does the robot actually know about what it's looking at. been poking at the Cessna navigator on https://t.co/Cg4X83TDzd for something similar, curated maintenance knowledge that agents can actually reason against. the hardware is getting figured out, the domain knowledge piece is still wide open
@jackcoder0 what gets me is the technician knew all of this but it wasn't in any official doc. that gap between what experienced people know and what's in the system is enormous in support orgs.
the runtime and security layer being solved is huge. i think the next bottleneck people hit is domain knowledge, what does the agent actually know about your specific systems, processes, products. @ImplicitCloudAI has curated knowledge bases built per domain, feels like it completes the stack.