Vibe working for analysis

You define the request.
Your AI analyst team builds the deliverable.

Vibe coding gave developers teams of coding agents. Wrightery brings the same model to knowledge work: your AI analysts research, cross-check and draft from trusted sources — you review the evidence and make the final call.

wrightery.com / workspaces / lumirit / runs

Grounded in the sources you trust

Your documents & filesDatabasesAPIsWeb researchMCP serversFile storage

How it works

Describe the work once. Run it every cycle.

Three steps, in plain language. No code, no node wiring, no waiting on engineering.

  1. 01You

    Describe the work

    Say what you produce and how you judge it — the way you'd brief a new analyst on their first day. Then point it at your documents, data and sources.

    • Plain language
    • Your sources
    • Your standards
  2. 02Wrightery

    Assemble the team

    Wrightery builds the workflow and staffs it — specialist AI analysts with their own roles, sources and tools, plus the people who review and approve. Read it, change it; no engineer required.

    • Specialist roles
    • Explicit handoffs
    • Yours to edit
  3. 03Your AI analysts

    Research, review, decide

    The analysts gather the evidence, cross-check each other and draft the deliverable, every claim traceable to its source. It stops at you before anything ships — and runs again next cycle.

    • Every claim traceable
    • Cross-checked
    • You approve

One request, one team

Ask once. A team of AI analysts does the work.

Each analyst has one job and its own sources. They check each other before anything reaches you — and the run stops at your approval.

›Weekly memo: has anything changed in the thesis on our largest holding?Example
  1. Research Analyst AI

    Pulled the 10-Q, the earnings call and three supplier filings

    Done
  2. Research Verifier AI

    Checked every figure against its source — one flagged for review

    Done
  3. Bear Case Analyst AI

    Challenged the margin assumption the thesis rests on

    Done
  4. You Reviewer

    Review the evidence, then approve, send back or edit

    Waiting for you

Deliverable

Weekly memo.docx

Draft · 6 pages

  • Every claim linked to its source
  • Bull and bear cases side by side
  • Held until you approve
ApproveSend back

An illustrative run. The steps are what the product does; the specifics are an example.

The workbench

Eight building blocks. One place to run the work.

Everything the work needs — what your analysts can read, what they can do, who reviews it, how it runs and what comes out — in one governed system instead of six tools you hold together yourself.

Context

What your analysts know

Documents, data, knowledge, memory and integrations

Capabilities

What they can do

Tools, APIs, queries and skills

Agents

Who does the work

A model, its context and its capabilities, with one role

Humans

Who steers and signs off

Approvals, reviews and feedback

Execution

How the work runs

Schedules and loops, every step recorded and costed

Artifacts

What comes out

Documents, articles, pages, apps and APIs

Workspaces

Where it comes together

People and AI analysts on one mission

The finished work, not a chat reply

Finished memos, reports and briefings, ready for your review.

A chatbot hands you a fragment. Wrightery produces the deliverable itself — a document, an article, a page or a dashboard — edited in place, with the evidence trail attached.

wrightery.com / workspaces / lumirit

AI analysis you can verify and control.

Get analysis backed by your sources, checked from multiple perspectives, and ready for your review. You decide what the AI can do and what needs your approval.

Built on your sources

Uses your approved documents, data, and tools to produce analysis relevant to your work.

Clear links to evidence

Trace claims back to their sources so you can check the evidence behind each conclusion.

Checked from multiple perspectives

Specialist agents challenge assumptions and flag conflicting evidence before you review the draft.

AI and humans in one workflow

Assign tasks to AI agents and team members, share feedback, and pass work between them—from research to final approval.

Clear limits on every task

Set budgets, permissions, and responsibilities. Track each step and its cost.

Your approval where it matters

Review and approve consequential actions before they go ahead.

You choose the level of autonomy

Let the AI recommend, act with approval, or work independently within the limits you set.

Who it's for

Analyst is a mode, not a job title.

Every knowledge worker is an analyst some of the time. If you produce the same kind of deliverable on a cadence, that is the work Wrightery is built to run.

Investment research

The weekly memo

Analysts track filings, news, fundamentals and sentiment, argue the bull and bear cases, and hand you one view with the reasoning trail attached.

Compliance & risk

The recurring review

The same review against this cycle's documents and records, every finding pointing at its source — and the exceptions escalated to a person.

Strategy & advisory

The client deliverable

A scattered source set turned into the briefing you already know how to write — to your firm's standard, in your firm's format.

Market intelligence

The landscape update

Competitors, pricing and coverage watched continuously; the analysis refreshed when something moves, not when someone remembers to look.

Your next report, with a team behind it.

Wrightery is in private build. Join the waitlist and we'll bring you in as soon as a seat opens — then describe one deliverable you already produce, and watch your AI analysts research it, cross-check it and draft it for your review.

No credit card. We'll email you the moment your seat is ready.

Rather talk it through? Book a 30-minute meeting ↗

Wrightery — AI analysts for expert-led knowledge work