@negligible_cap Cost and benchmarks get a model shortlisted. What gets it through legal and procurement is whether answers come with sources you can audit. For regulated buyers the question isn't which model is cheapest — it's which setup can show its work.
@nvidia Faster and cheaper loops are great. What decides whether an enterprise keeps the agent is whether every output traces back to a source. Past a certain point the bottleneck isn't the model — it's grounding.
@emollick Same gap orgs hit internally. The knowledge exists — it's just not written down anywhere a system can retrieve and cite. The fix isn't more docs. It's grounding answers in whatever source does exist so you can trace where each claim came from.
@jerryjliu0 Visual grounding as a first-class metric is the right call. For enterprise the question isn't 'did it read the table right' — it's 'can it tell you which cell it read.' A benchmark that scores attribution alongside extraction actually maps to what gets deployed.
@llama_index Reading correctly is half of it. The other half is pointing back to the exact line the answer came from. That's what makes an agent's output defensible in enterprise — not just accurate. Parsing and grounding are the same problem from two ends.
Most AI guesses. https://t.co/Rxvli4W3yE proves.
Hover an answer → source appears.
Click → doc opens.
Every answer carries its receipts.
→ https://t.co/b6UQONR5XF
Claude Opus 4.8 + Gemini 3.5 Flash just dropped on https://t.co/Rxvli4W3yE. 🚀
Pick your model. Power your agents.
→ https://t.co/b6UQONR5XF
#AI#Claude#Gemini#ChatCo
RAG. Retrieval-augmented generation. Most-used acronym in enterprise AI, least-explained.
Here's the plain-English version in 75 seconds 👇
Why it changes the hallucination math — and why https://t.co/Rxvli4W3yE can cite every answer.
#ChatCo
Most enterprise AI evals turn into 6-week integration projects.
This one ends at 09:48 with a cited answer on screen.
120 real docs. Upload, connect, ask.
Your company already has a knowledge graph.
Nobody drew it. It lives in Drive, Slack, and 4 senior heads.
https://t.co/Rxvli4W3yE surfaces it — and cites every answer to the source.
"Faster AI" was last cycle.
"Not wrong AI" is this one — citations, grounded retrieval, a source on every answer.
The line item isn't productivity. It's evidence.
Every company writes onboarding docs.
Every new hire still DMs a senior on day 3.
200+ docs. Zero answers at hand.
https://t.co/Rxvli4W3yE turns your stack into one chat that cites sources.
Your 40-person firm can't outspend the 4,000-person firm. You can out-know it — if your docs are findable. https://t.co/Rxvli4W3yE, your own docs, every answer cited.
#SmallBusinessWeek#ChatCo
Your company's best answers are already in your files. The problem is finding them.
https://t.co/Rxvli4W3yE plugs into OneDrive and Google Drive and turns your documents into instant, verified intelligence.
Your files. Instantly intelligent. → https://t.co/Rxvli4W3yE
Your team uses WhatsApp, Slack, and Telegram every day.
Now your AI agent does too.
One knowledge source. Every channel. Verified answers with citations — no hallucinations.
That's https://t.co/Rxvli4W3yE
Your customers speak 47 languages.
Your knowledge exists in English.
That's a problem.
https://t.co/Rxvli4W3yE solves it:
Train once (any language) → Deploy globally → Answer in 100+ languages
Go global → https://t.co/Rxvli4W3yE
What if:
→ Every employee had instant access to 20 years of knowledge
→ Customer support never slept
→ Compliance had instant cited answers
Stop imagining. Start building.
Your turn → https://t.co/Rxvli4W3yE