Using the live web, map the
[industry] market in [country /
region].

Find the top 6-8 players. For
EACH, visit their site and capture:
- Positioning & target ICP
- Core offer + top 3 features
- Pricing tiers (price + what's in)
- Proof: logos, case studies,
  funding
- Their sharpest & weakest message

Output one comparison table, a row
per player. Cite a source URL for
every fact and flag anything you
couldn't verify.

Then rate the market's attractiveness
with Porter's Five Forces —
rivalry, new entrants, substitutes,
buyer & supplier power — High / Med /
Low each, one line of why.

Here's what we do: [1-paragraph
description + our pricing].

Using the landscape above:
1. Plot us vs rivals on a 2×2
   positioning map: [axis 1] vs
   [axis 2].
2. Find 3 "white space" gaps nobody
   owns — segment, price, or message.
3. Score each gap on a 2×2: market
   attractiveness × our right-to-win
   (with a rough TAM for each).
4. Flag the 3 biggest shifts in this
   market in the last 6 months.

Recommend the ONE angle to test next
quarter, and the first step.

Now automate this. Using Cowork,
Schedule it to run every Monday
at 8am:

1. Re-check [Rival A / B / C] — their
   site, pricing and any new launches.
2. Compare to last week and flag what
   changed.
3. Scan the web for news mentioning
   them.

Then email me a one-page digest via
Gmail with a "what to act on
first" section. Draft it — don't send.

We're weighing [decision /
initiative]. Our position now:
[revenue, costs, cash, headcount,
key numbers].

Model 3 scenarios over the next
[timeframe] — best / base / worst.
For EACH:
- The 3-4 key assumptions
- Impact on revenue, cost and cash
- The single trigger that tips us in
- A rough probability

Show it as a side-by-side table, add a
probability-weighted "expected case"
row, then tell me which scenario our
current plan is secretly betting on.

Now stress-test the base case.

1. What single event would break it?
   Walk the chain of consequences step
   by step, and how much runway we'd
   have to react.
2. For all 3 scenarios, give the
   earliest leading indicators — 4-5
   metrics to watch, each with the
   threshold that should trigger
   action.
3. Sensitivity check: which 2
   variables move the outcome most?
   Rank them and show the swing.

Keep it specific to us, not a generic
risk register.

For the worst case, use Cowork to
build a 1-page contingency plan: what
to cut, what to protect at all costs,
and the first 3 moves in week one.

Then turn the early-warning metrics
into a monitoring checklist, and add a
recurring "scenario review" to my
Google Calendar on the first
Monday of each month — with that
checklist in the invite notes.

Act as my chief of staff. Connect to
my Google Calendar and Gmail.

Each morning, give me a brief under
250 words:
1. TODAY — my 3 top priorities, ranked
   by the Eisenhower matrix
   (urgent × important). Flag the one
   80/20 task that moves the most.
2. MEETINGS — for each, a one-line "why
   it matters" and the question to walk
   in with.
3. WAITING ON ME — decisions people are
   blocked on, each with a default.
4. AT RISK — anything likely to slip.

Confirm the format, then run today's.

Go through my Gmail from the last
24 hours and triage it into:
- Needs a decision from me (add a
  1-line recommendation each)
- Needs a quick reply (draft it)
- FYI only (one-line summary)
- Ignore / unsubscribe

Don't send anything — save the replies
as Gmail drafts so I can review,
tweak and send.

Schedule this to run on its own.

Every weekday at 7:30am, using
Cowork:
1. Read my Google Calendar and
   Gmail.
2. Generate the morning brief above.
3. Email it to me first thing.

Also block 30 min of "focus time" on
my calendar each afternoon in my
lightest stretch, and protect it from
new invites.

Here's our P&L / metrics for [period]
(attached as a spreadsheet, or below).

1. Summarize the story in 5 bullets —
   what's up, what's down, and the one
   headline I'd give the board. Plain
   English, no jargon.
2. Compare to [last period / budget]:
   flag every variance over [10]%, name
   the likely driver, and output a table
   sorted by impact on the bottom line.
3. Compute the core metrics — gross &
   contribution margin, EBITDA margin,
   cash runway (months) — and build a
   variance bridge from budgeted to
   actual EBITDA, RM impact per driver.

Now pressure-test the numbers.

1. What doesn't add up, or would worry
   a sharp investor? Point me at early
   warnings — margin drift, cash burn, a
   cost line outgrowing revenue, customer
   concentration. Flag any metric
   breaching a healthy threshold (gross
   margin, cash runway, CAC payback).
2. What are the 3 numbers I should manage
   most closely this month?
3. For each, give one concrete action to
   move it and the metric I'll check.

Be direct — what would you fix first?

Automate this for month-end. On the
last working day of each month, using
Cowork (Schedule it):

1. Pull the latest P&L [from the sheet
   / connected source].
2. Run the variance + red-flag checks.
3. Draft a 1-page review with the 3
   actions.

Email it to me via Gmail and add
a 20-min "finance review" to my Google
Calendar the next morning.

Here's our data: [attach the
spreadsheet — e.g. monthly actuals
by outlet].

Build me an interactive dashboard as
an Artifact. Include:
- A KPI strip: revenue, gross margin %,
  cash runway, same-store sales
- A bar chart of revenue by outlet
- A line chart of revenue & margin
  over time
- A filter to switch outlet / month

Clean, modern, brand accent #D97757 on
a cream background. Make it shareable.

Now refine it. Iterate with me:
1. Add a view ranking outlets by
   contribution margin, worst first.
2. Colour margin below 60% red, above
   65% green.
3. Add a scenario toggle — low / base /
   high — that flexes revenue by an
   assumption I set.
4. Add a one-line "so what" insight box
   up top that updates with the filter.

Rebuild the Artifact each time so I see
the change live.

Keep this dashboard live. Using
Cowork, Schedule it to run
every month-end:

1. Pull the latest numbers [from the
   sheet / connected source].
2. Rebuild the dashboard Artifact with
   the new month added.
3. Write a 3-bullet "what changed vs
   last month" summary.

Email me the updated dashboard link and
the summary via Gmail.