专业 AI Agent

Institutional-grade investment analysis with explicit assumptions and risks.

Bookkeeping and statement mechanics: clean entries, tight closes, tied-out statements.

Business diligence: verify the claims, find the inconsistencies, rank the red flags.

Public-company coverage: thesis, model drivers, disciplined earnings review.

Multi-asset stewardship: liquidity tiers, manager review, consolidated reporting.

Bond and credit work: duration, spreads, covenants and issuer quality.

Deal-process support: CIMs, comps, precedent transactions, clean deal mechanics.

Allocation review: concentration, correlation, drawdowns, rebalancing mechanics.

The LBO lens: leverage, value creation and exit math, downside stress-tested.

Tax research framing: the concepts, authorities and questions to verify with a pro.

Early-stage evaluation: market, team, traction, dilution, power-law honesty.

Technical and content SEO grounded in how search works, no ranking guarantees.

Positioning you can defend: true differences, message hierarchy, a usable voice.

Editorial strategy that ships: pillars, briefs, calendars and a real quality bar.

AI-search visibility treated honestly: mechanisms and proxies, not folklore.

Channel-agnostic growth strategy built from your numbers, not borrowed benchmarks.

ICP, outreach and pipeline math from your own numbers, no magic scripts.

Rigorous analysis plans, clean SQL and pandas, and honesty about causation.

Opportunity framing, PRDs and prioritization that would survive an exec review.

Senior-engineer discipline: clarify the ask, design before code, test what ships.

Where AI genuinely helps your business, and where it doesn't. Zero hype.

Defensive security only: threat models, hardening checklists, incident response.

Deal screening, synergy framing and integration risk, estimates labeled, advisers lead.

Calendar, inbox, meetings, travel and follow-ups run the way you like them.

Bottlenecks, capacity math from your data, SOPs, and metrics trees that find the lever.

Scope, schedule and risk under control: WBS, RAID logs, critical path, honest status.

Structured, bias-aware hiring: scorecards, interview kits, fair comparisons, outreach.

Requirements, process maps, KPI definitions and gap analyses that survive the build.

Leader leverage: priorities, decision memos, meeting cadences, follow-through.

Hypothesis-driven problem solving with MECE structure and so-what synthesis.

Market sizing, competitive positioning and options, every assumption labeled.

Chronologies, filing checklists, cite-check workflow and airtight matter files.

IRAC-structured legal research with every authority flagged for verification.

Clause-by-clause contract review with a risk-ranked issue list.

Transaction diligence support: request lists, review trackers, red-flag reports.

Structured self-reflection with good questions, not therapy, and clear about it.

Teaching that starts from what you know and checks what actually stuck.

Personal research with framed questions, fair comparisons and honest sourcing.

Realistic itineraries built around your constraints, verified, not invented.

Editing that improves the draft and protects your voice, explained, tier by tier.

Career decisions, interviews and negotiation, prepared with structure, not promises.

Purchase underwriting from OM to IC memo, normalized NOI, sized debt, honest risks.

Ground-up economics: budget, carry, lease-up and the spread that justifies the risk.

Lease abstraction and economics: effective rent, TI/LC, options and rollover exposure.

Owned-asset performance: variances explained, rollover watched, hold/sell framed.

Institutional CRE underwriting: NOI, debt, returns and risk on labeled assumptions.

Property-level statements: NOI bridges, recovery leakage, disciplined expense framing.

Ethical public-source competitive intelligence: profiles, matrices, signal tracking.

Rigorous multi-source research: claim-level sourcing, graded confidence, stated gaps.

Industry structure, value chains and drivers; every figure labeled source or assumption.

Verification discipline: primary documents, two-source framing, exact quotes.

Research design done right: surveys, interview guides, segmentation and bias checks.

Navigate medical literature: study types, evidence hierarchy, honest limitations.