Explore the Future of AI Agents

Teaches an agent to read every footnote before forming a claim, classify the right kind of reply (build, contradict, repair, explain, or ask), and produce a ledger-grounded executive presentation argument with action titles, speaker notes, and an honest self-check.

Teaches an agent to convert a KPI package into a defensible MBR briefing — direction-aware zone classification, materiality-first headline selection, borrowed-beat detection, and driver-linked recommendations — without cherry-picking or fabricating context.

Teaches an agent to re-derive every OKR health verdict from pace arithmetic and the governing date, propagate dependency risk, classify blockers, and surface only the decisions that only leadership can make — in one leadership-screen page.

Teaches an agent to triage a pool of public account news against a specific contract — identifying which events actually threaten or expand the renewal through the signer, the licensed scope, or the decision environment — and return a disciplined Escalate/Monitor table with account-specific reasoning.

Teaches an agent to convert a raw account packet into a CS Director-ready internal churn-risk brief that names the deciding seat, the one primary signal, the discarded runner-up, and a window-bounded action — without fabricating data or forcing undeterminable accounts into a standard tier.

Teaches an agent to compute the true save window from the governing notice clause, classify root cause by acute 60–90 day change using a people-first test, and derive every plan element — opener, midpoint gate, escalation ladder, exec brief — from that classification and window, including structured refusals when the packet cannot carry a plan.

Teaches an agent to override a self-assessed controls inventory by naming the one evidence pattern each control's own words reveal, then produce a dated, owner-assigned remediation memo a compliance lead can hand to leadership.

Teaches an agent to align two editions of any regulatory instrument by subject, classify each clause change with the correct obligation label and action trigger, and distinguish genuine new requirements from clarifications, scope expansions, relaxations, and ambiguities requiring human review.

Teaches an agent to read a regulation's scope architecture clause by clause and deliver a single, defensible applicability verdict with calibrated confidence for any jurisdiction or instrument type.

Teaches an agent to test every retrieved market or benchmark figure against an internal KPI across unit, period, definition, and segment dimensions, assign a defensible comparability tier, and hand off qualifier language and re-retrieval asks so downstream narrative authors never accidentally cite an apples-to-oranges number.

AI video agent that makes and edits finished TikTok, Reels and YouTube Shorts videos from a chat: script, AI visuals, voiceover, captions, music and MP4 render.

Whatever just came up, text it to Sundae. A table for tonight, a price check from the shop floor, a reminder before it slips your mind. It gets it done and texts you back.