Real-time reasoning on live data
Some products can't wait for a training cut-off. This track covers building on Grok where freshness is the feature — live grounding, citation handling, and the guardrails that keep a fast-moving answer from becoming a confidently wrong one.
Ordered the way we teach it. Private workshops reorder and reweight this against what your team already knows.
Reasoning modes, context windows and cost — picking a tier deliberately instead of defaulting to the largest one.
Wiring live search into the loop, then handling the part everyone skips: attribution, recency and conflicting sources.
Function calling and structured responses so the model can query your data rather than guess at it.
Interface patterns that keep a user oriented while the model thinks, and when to hide the reasoning entirely.
Verification passes, confidence signals and the escalation path for answers that shouldn't be automated.
Running Grok and your current model against the same evaluation set, on your own data, and reading the result honestly.
Teams often pair a model track with Agentic Systems — the tool design and evaluation material applies whichever provider you settle on.
Send over your stack, your group size and roughly when you'd like it. We'll come back with a curriculum outline and a date.