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~/skills/ai-moscow-prioritisation-coach[ok] loaded
INS.SKILL · FREE FOR CLAUDE, ALSO FOR CODEX AND CURSOR

The AI MoSCoW Prioritisation Coach skill for Claude

You paste your backlog into Claude and get back a scope you can send straight to your stakeholders: every item in Must Have, Should Have, Could Have or Won't Have this time, each with a one-sentence justification. The skill follows the MoSCoW method from Dai Clegg as DSDM developed it, runs every candidate Must through the Must test and warns as soon as Must Have climbs above 60 per cent of the scope. Because a plan in which everything must happen is no plan at all.

Download the skill ↓ View all skills 4.1 KB · zip with SKILL.md · MIT licence · no account needed
$ installation, line by lineFIG.00
~/.claude/skills
theseo ~ %
  inflating: ai-moscow-prioritisation-coach/SKILL.md
theseo ~ %
  ---
  name: ai-moscow-prioritisation-coach
  description: >…
theseo ~ %
[ok] skill active · 1,555 words of instructions loaded

the rules above come from the zip on this page · SKILL.md is 9,300 bytes

~/skills/ai-moscow-prioritisation-coach/01-demonstration[run]
Section 01 · The demonstration

Backlog in, scope out

reg. M.001

This is the worked example that appears in the SKILL.md itself, shown here in shortened form: an MVP launch with seven tasks and more wishes than time. Note the mobile app. It feels like the biggest item on the list, and that's exactly why the Won't explanation attached to it matters more than the label itself.

FIG.01: From backlog to scope agreement[#----] sheet 1/5
~/release · claude + ai-moscow-prioritisation-coach
you > prioritise these tasks for our MVP launch at the end of Q3 using MoSCoW
backlog.txtseven tasks, one goal Goal: the first paying customers. Timebox: until the end of Q3. Tasks: user registration and login, payment page with Stripe, customer dashboard, mobile app, dark mode, API documentation, email notifications.
claude · sorting according to the six steps, every item through the Must test...
[1/6]goal and timebox · first paying customers, until the end of Q3: present, no follow-up needed
[2/6]context · main constraint known, on to the test
[3/6]Must test per item · what happens if this isn't in this timebox, and is there a workaround
[4/6]justification · exactly one category and one sentence of explanation per item
[5/6]overload check · Must Have at 29 per cent, well under the 60 per cent limit
[6/6]overview plus Won't agreement · ready to send to stakeholders
scope.mdshortened, the full example is in the skill MUST registration and login · without an account there's no customer, no workaround · payment page with Stripe · without payment there's no paying customer, that's the goal SHOULD customer dashboard · workaround: confirmation email · API documentation · workaround: PDF on request COULD email notifications · the first to go if things get tight WON'T mobile app · separate track, back on the table once there's proof of paying demand · dark mode · cosmetic, no impact on the goal Split: Must 29 per cent [##--------] limit 60 · the plan holds
[######] 6/6 done · the Won't list isn't a bin but an agreement: that's half the value
6M.01 · steps in the fixed process
4M.02 · categories, each with a strict definition
8M.03 · things the skill refuses to do
0M.04 · euro, MIT licence, no account
M.01 to M.04 · properties of the skill file, not results or usage figures.
$ cat 01-what-the-skill-is.md
DOC.01

What the AI MoSCoW Prioritisation Coach is

The AI MoSCoW Prioritisation Coach is part of TheSEO's library of 100 free skills. A skill is an instruction file, SKILL.md, that gives an AI assistant a fixed way of working for exactly one task. No software, no subscription, no integration: a 1,555-word text file that tells Claude how to sort a backlog into four categories, which test every item must pass before it can be called a Must Have, when it should ask follow-up questions, and in what form the result is delivered. What a skill actually is, and why files like this work so well, is explained in what Claude skills are NL.

The problem this skill solves has a different name in every team, but the pattern is the same. The sprint starts with twelve tasks that are all called important. Nobody wants to admit their item doesn't belong, so everything becomes a priority, and if everything is a priority, nothing is. Halfway through the period, time runs out, and the item that drops isn't the least important one but the item belonging to whoever happened not to be in the meeting. MoSCoW replaces that process with a criterion: not how important this feels, but what happens if this isn't in this round.

It's written for anyone who has to guard a scope: product owners and teams planning releases and sprints, founders defining an MVP, marketers with a campaign calendar, and service providers who need to fix the size of a project before a quote can go out. Along with the rest of the skill library, we make it available for free from our AI and automation service, with no account and no sales email afterwards.

There's one thing you should know beforehand: MoSCoW is a framework for agreements, not a calculation model. The method makes choices discussable and records them, but it doesn't rank within a category. If you have eight Should Haves and want to know which one goes first, you need a calculating method alongside this skill. More on that further down, including the skill that fills that gap.

$ cat 02-where-moscow-comes-from.md # Dai Clegg, 1994, later DSDM
DOC.02

Where MoSCoW comes from and why the W matters most

MoSCoW was devised by Dai Clegg, at the time working at Oracle, and described in the book Case Method Fast-Track: A RAD Approach, which he published with Richard Barker in 1994. The method was then developed and spread through DSDM, the agile framework of what is now the Agile Business Consortium, and it's precisely that DSDM development that makes the difference between a handy mnemonic and a planning instrument. The name is an acronym for Must Have, Should Have, Could Have and Won't Have this time; the two o's were only added to make the word pronounceable.

The four categories look simple, but every word is chosen precisely. Must Have doesn't mean very important but blocking: without this item, the solution can't be delivered within this timebox, isn't legal, isn't safe, or is pointless. Should Have is important and painful to miss, but a workaround exists. Could Have is the planning's buffer: desirable if there's room, and the first thing to go if things get tight. And Won't Have this time isn't a bin but an agreement: this deliberately isn't happening this round, and it also states when it comes back on the table.

That last category is the most underrated. Without an explicit Won't list, dropped items quietly seep back into the scope, and that phenomenon has a name: scope creep. The difference between a team with and without that agreement is shown most concisely as a diff.

The examples in this block come from the example scenario in the skill file itself. They illustrate the method, they are not measurements from us or from a client.

~/skills/ai-moscow-prioritisation-coach/02-anatomy[ok]
Section 02 · The anatomy

Four categories, one core rule

reg. M.002

Every category has a strict definition in the file, plus the criterion that goes with it. The mono lines below come from those definitions. The bottom row is the core rule from DSDM that guards the whole classification.

FIG.02: The anatomy of the classification[##---] sheet 2/5
The timeboxa fixed container, not a ranking · above the limit the skill stops to reclassify
MUST HAVEat most 60 per cent
SHOULDonce Must is set
COULDroughly 20 per cent buffer
WON'T HAVE · THIS TIMEsits deliberately outside the container, with the agreement of when it comes back on the table. Not a smaller block but something that isn't part of this round.

# The ratios come from the SKILL.md itself: Must at most sixty per cent, Could roughly twenty per cent as buffer according to DSDM. These are not measured figures from a project.
# The width represents effort within the timebox, not the number of items: that differs per project.

MUST HAVEBlockingno workaroundWithout this item, the solution isn't viable within this timebox: not deliverable, not legal, not safe, or pointless for the goal.the Must test: what happens if this isn't in it now, and is there really no workaround
SHOULD HAVEPainful to missa workaround existsImportant, but the solution stays usable without it. Goes in once the Must Haves are set.if a workaround exists, however ugly, it's at most a Should
COULD HAVEThe bufferthe first to goDesirable if there's room left over, with small impact if it's dropped. DSDM deliberately plans roughly 20 per cent of the effort as Could Have.if things get tight, Could Haves go first: that keeps the rest of the promise standing
WON'T HAVEThe agreementthis timeDeliberately out of scope for this round, with the agreement of when it comes back on the table. Not a bin.the Won't list prevents scope creep and makes no discussable
CORE RULEMust ≤ 60%Must Haves make up no more than 60 per cent of the items or the effort. Above that, the plan is fragile and the skill stops to reclassify.above the limit, every setback immediately hits an item that isn't allowed to drop
$ less ai-moscow-prioritisation-coach/SKILL.md # 1,555 words of instructions
DOC.03

What's actually in the SKILL.md

A skill is only as good as its instructions, so we simply describe them here. At the top is a frontmatter that determines when Claude picks up the skill: for literal terms like MoSCoW and Must Should Could Wont, but also for situations like prioritise my backlog, what needs to be in the MVP, stakeholders want everything at once, and scope creep. Even a pasted list of requirements with the question of what should go in is enough. The same frontmatter also states when it doesn't pick itself up: for fine-grained ranking within a category it points to RICE, for pure urgency to Eisenhower, and for a go or no-go decision to a pre-mortem or inversion.

The core of the file is a fixed process of six steps. First, establish the goal and timebox, because a Must Have is always a Must Have for something, within a defined time. Then ask follow-up questions when context is missing, with a maximum of three targeted questions. Then run every item through the Must test: what happens if this isn't in this timebox, and does a workaround exist.

Then exactly one category and a one-sentence justification per item, so the team can discuss the criterion instead of the person who raised the item. Then the overload check: if Must Have goes above 60 per cent, the classification stops and every candidate Must goes through the test again, out loud, until the split holds up or it's explicitly stated that the timebox is too small. And finally the definitive overview plus the Won't agreement, written out in sentences you can send straight to stakeholders.

The output has a compulsory structure of five parts: the header with goal, timebox and main constraint; the four category blocks with the justification per item; the split in numbers and percentages with the 60 per cent limit next to it; a risk-and-reshuffle block that states which Could Haves drop first if things get tight; and the Won't agreement itself. It also contains a worked-out example scenario, the MVP launch this page uses as its thread, a list of eight things the skill never does, a source reference to Clegg and Barker and to DSDM, and five style rules, including: always show the split in percentages, even if nobody asks for it.

If you want to learn how to build an instruction file like this yourself, the full explanation is in writing a SKILL.md NL.

~/skills/ai-moscow-prioritisation-coach/03-split[ok]
Section 03 · The split

The 60 per cent limit guards the promise

reg. M.003

The split from the example scenario in FIG.01, shown here as bars. Schematic example: the percentages come from the skill file, not from a measurement. The dotted red line is the limit from DSDM: as soon as the Must bar grows past it, the skill stops and reclassifying begins.

FIG.03: The split and the overload check[###--] sheet 3/5
MUST2 of 7 · 29%
SHOULD2 of 7 · 29%
COULD1 of 7 · 14%
WON'T2 of 7 · 29%
# schematic example · split from the example scenario in the SKILL.md · dotted line: the 60 per cent limit · if Must is past it, every candidate Must goes through the Must test again
$ cat 04-why-the-limit-works.md # the rule of thumb from DSDM
DOC.04

Why the 60 per cent limit works

The weakness of every prioritisation method is inflation. Ask a team what's a Must Have and you get a list where almost everything is a Must Have, because nobody wants their item to be the first to fall. The label then loses its meaning, and the plan built on it becomes a promise nobody can keep. That's why the file treats Must Have not as a wish list but as a guarantee, and you only give a guarantee if you can actually keep it.

The rule of thumb comes from DSDM: don't let Must Haves take up more than 60 per cent of the timebox's effort, and plan roughly 20 per cent of the effort as Could Have. That ratio isn't magic but buffer logic. Above 60 per cent the plan is fragile: every setback then immediately hits an item that isn't allowed to drop, and the team can only choose between breaking the deadline or breaking the promise. With a healthy split, the Could layer absorbs the blows, the Musts and Shoulds stay standing, and the team keeps its word even in a bad week.

Operationally, that rule becomes the overload check in step five. The split is always calculated, in items and, where possible, in estimated effort, and shown even if you don't ask for it. If Must Have goes above the limit, the classification stops and every Must Have goes through the Must test again, out loud: what really happens if this drops.

Usually it turns out that some of the Musts are actually Shoulds with a workaround nobody wanted to say out loud. And if the list is still too full after reclassifying, you get told what's actually going on: not a prioritisation problem, but a timebox that's too small for the goal. That's an outcome too, and a more honest one than a plan everyone knows won't be met.

Handy to have alongside it: anyone who wants to rank within a category after the classification, for example because there are eight Should Haves, can hand the list to the RICE Prioritisation skill, which works out a score per item. The two methods complement each other precisely: MoSCoW decides what gets in, RICE decides what goes first.

~/skills/ai-moscow-prioritisation-coach/04-refusals[ok]
Section 04 · The boundaries

What the skill refuses

reg. M.004

Under the heading What NOT to do, the SKILL.md contains eight fixed rules, and that list matters at least as much as the four categories. Each rule is a request you might make, with the response the skill gives according to its own instructions.

FIG.04: refusals.log[####-] sheet 4/5
refusals.log8 fixed rules from the SKILL.md
this item is really important, put it in MustREFUSEDNo Must label without a passed Must test. Important isn't the same as blocking. If a workaround exists, however ugly, it's at most a Should Have.
go ahead and sort this list, we'll decide the goal laterREFUSEDNo classification without a goal and a timebox. Without those two, any classification is arbitrary, because a Must Have is always a Must Have for something. Ask first, then sort.
leave out that Won't list, it looks so negativeREFUSEDThe Won't list is never quietly left out. That list is half the value of the method: without the agreement, dropped items quietly seep back into the scope.
work out what each item brings in revenue while you're at itREFUSEDNo making up figures, percentages or business cases. Without supplied estimates the skill counts in items and says so. Made-up justification is worse than no justification.
just make it Must slash Should, then everyone's happyREFUSEDNo in-between categories or double labels. Every item gets exactly one category. Doubt means Should, because a half Must label makes the guarantee of Must worthless.
here are our 60 backlog items, sort them all in one goGROUP FIRSTMore than 25 items at once becomes a swamp. The skill suggests grouping into themes first and sorting theme by theme, so the justification per item stays readable.
just add that management demands this by FridayREFUSEDNo inventing deadlines or consequences to push an item into a category. The timebox comes from you, not out of the skill's thumb.
Peter's always just shouting things, his items can go straight to Won'tREFUSEDNo judging people. The skill labels items, not stakeholders. Who raised an item is not an argument, in either direction: that's exactly the dynamic MoSCoW takes out of the room.
$ unzip ai-moscow-prioritisation-coach-skill-for-claude.zip -d ~/.claude/skills/
DOC.05

Installing in Claude Code, Claude.ai or Codex

The zip contains one folder, ai-moscow-prioritisation-coach, with the SKILL.md inside. Installing it is a matter of putting the file in the right place, and that place differs per environment. SKILL.md has been an open standard since December 2025, so the same skill also works in Codex, Cursor and Gemini CLI. So you're not downloading a Claude file but a working instruction that any modern AI assistant can read.

CLAUDE CODE
  1. Unzip it into ~/.claude/skills/ (or .claude/skills/ in your project).
  2. Claude then recognises the skill automatically as soon as you start talking about scope, a release or a backlog.
  3. You can also call it directly, with /ai-moscow-prioritisation-coach.
CLAUDE.AI
  1. Go to Customize and then Skills.
  2. Upload the zip there as a skill.
  3. Or paste the contents of SKILL.md into the project instructions of a Project.
CODEX
  1. Open AGENTS.md in your repo.
  2. Paste the contents of SKILL.md into it, or place SKILL.md alongside it as a separate file and refer to it from AGENTS.md.
  3. Codex reads that along with every session.

After that, using it is simple: paste your list, name your goal and your timebox, and ask for a MoSCoW classification. If the goal or the period is missing, the skill asks with at most three questions. If you get stuck anywhere during installation, every step is explained in the guide installing Claude skills NL.

$ cat 06-when-to-use-it-and-not.md
DOC.06

When to use it and when not to

Six situations are listed in the file itself where MoSCoW proves its value: a release or sprint with more requirements than capacity, an MVP that needs defining, a backlog where everything is called important, stakeholders who need to align on what isn't happening this round, a project scope that needs fixing before a quote can go out, and calendars or campaigns with a hard deadline. The common thread: wherever capacity is smaller than the wish list and people need to agree on that, the method works. Precisely because the output is readable sentences rather than numbers, it suits conversations with non-technical stakeholders.

The file is equally honest about when to leave it aside, and there are four cases. For fine-grained ranking within a category, MoSCoW is too blunt: then you want the calculating approach of RICE. For pure urgency sorting of individual tasks, the Eisenhower matrix is the right tool. For a go or no-go decision on a single project you want a pre-mortem or inversion, not category labels. And without a goal and a timebox, the skill simply won't start, because MoSCoW without a timebox makes everything a Must.

The most important limit is human, not methodological: choices are made visible and discussable, but your team still has to accept them. If the director still insists after the classification that all seven items are Must Have, you don't have a prioritisation problem but a capacity conversation, and a human has to have that conversation. What you get for it is exactly what you need in that conversation: the split in percentages, the risk analysis and the question of what then gets to come off the list.

~/skills/ai-moscow-prioritisation-coach/05-upgrade-path[ok]
Section 05 · From skill to employee

Run it yourself or have it run for you

reg. M.005

This skill is the free do-it-yourself version of work we also deliver as a service. It stays complete and free of catches, but be aware what a skill is: it teaches your AI how to do something, while every new session starts empty. You prompt, you supply your goal and your backlog afresh every time, you check. Anyone wanting it done differently has two next steps: hand off the engine, or sort out the memory.

$ cat from-skill-to-employee.mdthree steps, same work
upgrade-path.shfree · employee · brain
STEP 1 · FREE
where you are now
The skill: you are the engine You run the AI MoSCoW Prioritisation Coach yourself in Claude, Codex or Cursor. Costs nothing, works today, and you keep it entirely in your own hands: no trial period, no locked-off parts. The limit is your own time: the classification only happens when you start it, and you have to keep track of your scope agreements yourself. $ claude --skill ai-moscow-prioritisation-coach · €0 · you prompt, you check
STEP 2 · SERVICE
have it prepared for you
The AI employee: it's ready without you having to prompt Want this kind of preparatory work ready every day without you sitting behind Claude for it, there's the AI employee: a service where the work is prepared and you only review it. Control stays with you, because output stays a draft until a human gives approval. We deliver this through Mansotti, the company of which TheSEO is the trading name, which builds three fixed employees: the Quote Employee, the Sales Employee and the Reporting Employee. from €950 per month · human gives approval, always
STEP 3 · BRAIN
everything from one source
Jarvis: all your AIs work from the same company knowledge The skill teaches the AI, the brain is where the memory lives. Want all your AIs to work from the same company knowledge: that's Jarvis, the organisation brain. It connects ChatGPT, Claude, Codex and your people to the same projects, core knowledge and decisions, so your next AI session doesn't start from scratch. For this skill that means: your scope agreements and your Won't list stay saved between sessions, instead of you explaining them again every sprint. What that delivers in practice, from the plans to your first week, you can read at Jarvis itself. entry-level Brain Start: €9 per month incl. VAT · pay for your brain, not per AI question
# not a sales trick: step 1 stays free and complete. The next steps are for anyone who wants to hand this work off.
~/skills/ai-moscow-prioritisation-coach/06-jarvis[ok]
Section 06 · The brain

What Jarvis actually delivers

reg. M.006

Step 3 deserves more than a paragraph, because with scope specifically, memory is the difference. A MoSCoW classification is an agreement, and an agreement nobody can find again stops existing after two sprints. Jarvis is the organisation brain that holds onto those agreements and starts every new session with them. You notice it first at the start of a new session.

FIG.05: What a session gets back from the brain[#####] sheet 5/5
jarvis · organisation brain● sync
$jarvis recall "release-scope" # schematic example
[core]goal for this release: first paying customers · timebox until end of Q3 · Must Have never above 60 per cent
[core]Won't agreement: mobile app and dark mode out of scope, reconsider after proof of paying demand
[task]MoSCoW round for new sprint backlog · draft ready · awaiting human approval
[decision]customer dashboard stays Should Have: workaround confirmed by email, approved by a human
[log]previous session: claude classified the list, human moved an item to Won't, result saved
[ok]context loaded · this session doesn't start empty
this is how every task moves through the brain: logged → context determined → delegated → human approval → saved · the full trail is at jarvis/how it works
context.retained Your next session doesn't start over Today you explain your release goal and your Won't agreements, and tomorrow a separate chat knows nothing about it anymore. With Jarvis, every session starts with the same scope, agreements and earlier classifications, as in FIG.05: recall first, then sort.
ai.connected ChatGPT, Claude and Codex, one source Every connected AI works from the same core knowledge and agreements. The scope you log and approve in Claude, ChatGPT knows too. You never explain anything three times, and no three versions of the same Won't list emerge.
tasks.tracked Tasks scheduled, tracked, marked done A Must Have from the classification is logged with a goal and deadline, picked up by the right agent and marked done with the result attached. You can see at any moment what's running, what's waiting and what's finished.
everything.logged Everything logged and viewable Every step leaves an auditable trail: who asked what, which sources were used, which agent worked on it and who approved it. Not because it has to, but because otherwise you can't check what happened on your behalf.
human.approval Nothing goes out without approval AI prepares, a human decides. A scope classification stays a draft until someone approves it, and only approved knowledge goes back into the brain. That boundary applies everywhere in the system, even for work an agent prepared entirely on its own.
brain.isolated Customer brain isolated If you work for multiple clients, knowledge stays strictly separated per client. What you learn for one doesn't leak into the work for another.
# THE HONEST PROOF · NOT A DEMO

We've been working this way ourselves for months. Every agent session, every task and every decision goes into the log and can be read back. A new session therefore doesn't start blank: it first retrieves the logged decisions, the running projects and the latest changes, and carries on from where the previous one stopped. With scope, that's the difference between a Won't agreement that still holds two sprints later and one nobody can find again. So not a promise, but the way we work every day.

$ cat pricing.mdpay for your brain, not per AI question
Brain Start €9 /mo incl. VAT 1 organisation brain · 1 user · 1 AI employee
Brain Solo €29 /mo incl. VAT 1 organisation brain · 1 user · 3 AI employees
Brain Team €99 /mo incl. VAT 1 organisation brain · 5 users · 10 AI employees
Brain Business €249 /mo incl. VAT 3 organisation brains · 20 users · 50 AI employees

See all four plans at jarvis/pricing NL. Through the waiting list NL you simply pass on your preferred plan, without obligation. That doesn't create an account, an order or a payment obligation. We discuss business customisation first.

~/skills/ai-moscow-prioritisation-coach/07-related-skills[ok]
Section 07 · The chain

The skills around it

reg. M.007

Determining scope never stands on its own: an order comes after it and growth questions lie underneath it. These skills from the same library each tackle a different part of that chain.

$ claude --interactive # seven questions, seven answers
DOC.07 · FAQ

Frequently asked questions

What does the AI MoSCoW Prioritisation Coach skill cost?

Nothing. It's free, released under the MIT licence, and needs no account and no email address. You download a 4.1 KB zip containing a folder with a single file, SKILL.md, and that's the complete skill. There is no paid version and no sales email follows afterwards.

Does this skill also work in Codex, Cursor or Gemini CLI?

Yes. SKILL.md has been an open standard since December 2025, so the same file also works in Codex, Cursor, Gemini CLI and other tools that follow the standard. In Codex you unzip it into .agents/skills/ in your project, or into ~/.agents/skills/ for all your projects; Codex has supported SKILL.md directly since the open standard of December 2025. Putting the contents of SKILL.md into your AGENTS.md still works too. The instructions are readable text, so any AI assistant that accepts instruction files can work with it.

How many items are allowed in Must Have?

The rule of thumb comes from DSDM: Must Haves make up no more than 60 per cent of the items or the estimated effort. Above that, the plan is fragile, because every setback then immediately hits something that isn't allowed to drop. The split is always calculated, and above the limit every Must Have goes through the Must test again until the ratio holds up.

What's the difference between Should Have and Could Have?

Should Have is important and painful to miss, but a workaround exists and the solution stays usable. Could Have is desirable if there's room left over and forms the planning's buffer: if things get tight, Could Haves go first. That's why DSDM deliberately plans roughly 20 per cent of the effort as Could Have.

Is Won't Have the same as no?

No, and that's exactly the strength of the category. Won't Have this time means deliberately out of scope for this round, with the agreement of when it comes back on the table. In the file, that list isn't called a bin but an agreement that prevents scope creep, and you get it written out, ready to send to stakeholders.

Does MoSCoW only work for software teams?

No. The method works on anything with more wishes than capacity: content calendars, marketing campaigns, operational projects and the scope of a quote or MVP. The only hard requirement from the file is that there's a goal and a timebox, because without a timebox MoSCoW makes everything a Must.

What's the difference between MoSCoW and RICE?

MoSCoW sorts qualitatively into four categories and is fast, which suits releases, sprints and scope conversations with stakeholders well. RICE works out a score per item on Reach, Impact, Confidence and Effort, which better suits a roadmap with numbers. The two complement each other: MoSCoW decides what gets in, RICE decides what goes first.

$ cat 08-next-steps.md
DOC.08

First scope, then execution

A clear scope is half the work: after that, the Must Haves still have to be built, written or launched. If your website or visibility is on that list, the free SEO scan shows in a few seconds where your site stands now, so you know whether that item rightly belongs in Must Have. And if you want to talk further about what AI can do for your business, from individual skills to full automation, we simply do that in a conversation.

Section 08 · Next stepreachable 24/7
Schedule a call ↗ NL
$ whoami
Gianluca, founder
Written by GianlucaFounder. Has been building visibility for Dutch businesses since 2017, in Google and in AI answers. More about the institute.