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General-purpose AI or Launchpad: individual workspace versus repeatable consulting delivery

Individually, general assistants make good consultants faster. The gap is between individual skill and firm capability.

First, the credit due

What General-purpose AI does well

  • General-purpose assistants are broadly capable, immediately available and require no setup at all.
  • In skilled hands they are a real amplifier — research, drafting, structuring, pressure-testing an idea.
  • Most consultants who use them well have earned workflows this page does not second-guess.

The decision in one sentence

What is actually being compared

A consultant with a general assistant is an individual capability; Launchpad turns how the firm works into repeatable delivery — the method, the client boundary and the review step carried by the system rather than by each person’s habits.

The honest split

When General-purpose AI is enough — and where the cost begins

General-purpose AI is likely enough when…

  • Individual productivity is the goal, and outputs feed your own thinking rather than a firm process.
  • Engagements are short, rarely revisited, and delivered by the person who did the work.
  • There are no shared working standards that must hold across people.
  • Your own review is the only review the work needs.

Coordination starts to cost real time when…

  • Output quality depends on who happened to prompt, so the firm’s floor is each person’s ceiling.
  • Context is re-explained chat by chat, and the explanation quality varies with time pressure.
  • Working standards live in people’s heads and travel by apprenticeship.
  • Client material and working context live wherever each person’s conversations are.
  • Review happens late, on a finished-looking document, where changes are expensive.

Day to day

The same six moments, in both workflows

Day-to-day workflow comparison: General-purpose AI versus Launchpad
MomentGeneral-purpose AILaunchpad
Set upNone — open a chat and start. That is the appeal.Open the client engagement — specialists, method and prior context are already in place.
Start a taskBrief the assistant from scratch or from your own notes; the quality of the brief is the quality of the start.Give the delivery team the task; the briefing is carried by the engagement, not rebuilt.
Update the methodTell people the standard changed and rely on everyone’s next prompt reflecting it.Update the specialist, team or firm knowledge once; engagements use the current version from then on.
ReviewEach person judges their own output; a senior reads the result cold.A critic challenges the reasoning and a validator flags unsupported claims before senior review.
DeliverCopy the good parts into the document and finish it by hand.Shape the editable report, then generate the client-facing deliverable from the version you approved.
Return laterScroll the chat history — if the work was yours; if not, start by asking around.Reopen the engagement — anyone with access picks up the context, decisions and report as they stand.

Tradeoffs

What adopting Launchpad costs

Standardisation and maintenance have a price in both directions — here is ours.

  • Launchpad is a paid subscription on top of whatever assistants people already use, and it asks the firm to make its method explicit — which is work.
  • A system imposes structure. On genuinely individual work that structure adds steps a solo chat does not have.
  • This is not a model-quality argument: Launchpad wins when coordination and governance are the harder problem, not because an assistant is weak.

Decision guide

Choose with your own work in mind

Choose General-purpose AI when…

  • The firm is effectively individuals whose work rarely intersects.
  • Client work does not require demonstrable isolation or a structured review trail.
  • You want zero setup and are content with personal-workflow variance.

Choose Launchpad when…

  • The same method should produce the same floor of quality regardless of who runs the work.
  • Context continuity and client isolation should not depend on personal habits.
  • Challenge and validation should happen while the work is cheap to change.

See when Launchpad adds value — on real work.

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