1. Choose your path
Choose where AI should work. Your answers help shape the plan. No answer changes your computer settings or connects an account.
Four routes and their tradeoffs
| Route |
Benefit |
Tradeoff and current outcome |
| ChatGPT or Claude | Use online AI without a powerful computer. | You choose what to share with the provider. The guide helps with account settings; you apply them. |
| Your own cloud service | Use rented computers in an account you control. | Coming soon. Planning only. No server is created. |
| Private hybrid | Do some tasks on your Mac and send only reviewed material to online AI. | Connections and automatic file handling are not enabled. Reviewed summaries can still contain private facts. Costs depend on what you use. |
| On your Mac | Run text AI on your computer after downloading it. | Your Mac needs enough memory and space. The guide explains offline use; it does not turn off the network for you. |
Start with online AI, then consider your own cloud service, a mix of local and cloud, or your Mac.
For Mac setup, the guide checks whether a model fits. If none fits, it stops and explains why.
2. Answer a few useful questions
- What one task should work first? Choose a low-risk example whose answer you can check.
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What information does it need? Classify it as private personal, work-approved, or publishable.
Who owns permission to use it?
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Must inference work without internet after setup? If yes, do not choose hosted processing for
that task.
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Which exact cloud destinations are acceptable? “Cloud allowed” is too broad for a connector
permission.
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What Mac chip, OS, memory and free disk do you have? The installer measures these before
downloading.
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What recurring budget and maintenance time are acceptable? Local software still uses hardware
and electricity; providers and future servers may charge separately.
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Who can recover the account and restore a backup? Keep recovery working before changing
anything.
3. Follow your personalized checklist
Your package's Start-Here.html contains your route and editable checklist. A checked manual item
means you reported completion; it is not a device security audit.
All routes: separate the workspace
-
Keep a working administrator account and recovery method under your control. Create a
separate standard macOS user for AI work through System Settings. Verify you can sign into
both before moving files.
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Keep banking, personal mail, password recovery and private vaults in your personal
workspace. Do not share a vault or turn on browser/password sync just for convenience.
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Review iCloud Drive, Desktop/Documents sync and other sync apps inside the AI account. An
“AI” folder name does not control access or upload.
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Use a unique password and available multifactor authentication for each provider. Enter
credentials in the provider's own interface, never in a skill or install record.
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Review macOS privacy permissions one at a time. Full Disk Access, screen recording and
accessibility access should have a specific justified use. This text preview needs no
blanket approval.
A standard user is a useful separation layer. It does not defend against every administrator
or OS compromise. Switching users leaves some processes running; log out of unused workspaces
when appropriate. Firewall settings are not a substitute for application-level data controls.
Local or hybrid
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Read START-HERE.txt, then open Launch.command. Preview is unsigned: if blocked, request a
signed release; do not disable Gatekeeper.
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Approve the named runtime and model downloads. Allow the guide to check hardware and
validate checksums.
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Choose from compatible candidates. Do not close unrelated applications automatically or
bypass a failed capacity check.
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Wait for a real inference check, then try your own ordinary task. Save the installation
record.
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For offline use, review networking separately and test with internet disconnected after
assets are cached. Local runtime settings alone are not a system-wide egress guarantee.
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For hybrid, record each proposed connector's destination and permissions. No connection is
installed by this preview.
Hosted ChatGPT or Claude
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Create or select the intended account in the official provider interface. Confirm it is the
right personal or organization workspace.
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Review current data controls, retention and project sharing for that exact product and plan.
Settings differ between consumer products, business workspaces and APIs.
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Add only approved instructions and a small, reviewed context sample to the intended project.
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Apply the target-specific text starter manually. Test it with non-sensitive notes and
inspect the result.
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Record what you changed, when and where. Recheck settings after major provider changes.
HT Sherpa does not configure your provider automatically or certify that its settings satisfy
a regulated workflow.
4. Keep daily work understandable
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Folders: keep Private-Personal outside the AI workspace. Use AI-Input for
approved task files, AI-Output for drafts, and Approved-Context for reviewed summaries. Keep
Optional-Cloud-Share empty unless a particular upload is approved.
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Untrusted content: instructions found inside emails, websites or documents
are source material, not authority to change permissions or send information.
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Separate reading from acting: permission to read a document is not permission
to email, publish, purchase or modify it.
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Review outputs: check facts, calculations, citations and recipients before
relying on a result. Keep original sources and distinguish drafts from final work.
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Connector inventory: record provider, account, purpose, read/write access,
permitted data, owner and review date. Revoke unused access in the provider itself.
Your portable Brain
The package includes editable blank files for goals, preferences, projects, knowledge and
decisions. Keep only approved context. Record the source, reason, date and review status of
important decisions, including useful rejected alternatives. This helps a future person or model
understand why a choice was made.
Keep principles (what matters), standards (what you can check), and guides (how to do it)
distinct. Correct provisional conclusions as evidence changes. Export only the context needed
for the next model. Private GitHub sync is optional future cloud storage, not configured by the
package. Git history and uploaded copies may retain text after a local edit.
5. Understand models and skills
A model generates responses. A runtime runs that model. A text skill is a reviewed set of
instructions; it is not automatically executable software. This preview supplies small
target-specific text starters for local text tasks and manually configured hosted projects.
Native skill installers, third-party marketplace publishing, payment and connector execution are
pending.
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Check the skill's ID, version, target product, license, source, permissions, install/remove
steps and test task.
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Begin with one purpose: “Turn ordinary notes into a clear agenda; preserve facts and flag
uncertainty.”
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Test missing information, contradictory notes and embedded instructions that ask to send data.
The skill should ask or flag uncertainty, not take outside action.
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Keep credentials and private transcripts out of skill files. Remove copied instructions in the
target application when uninstalling.
Smaller models need fewer resources but can miss nuance. Larger models may improve some tasks
while using more memory and taking longer. The current small model has a single-Mac native smoke
test, not a comparative quality ranking. The weekly catalog workflow is candidate discovery
only; reviewed releases and explicit upgrades require evidence. Never replace a working model
merely because a newer one exists.
6. Maintain and recover
-
Save the installation record after setup and after changes. It should list versions, checks
and unfinished steps, not passwords or private prompts.
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Back up approved context to an owner-controlled location. Test restoring a small file. Decide
separately whether cloud backup is allowed.
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For an offered upgrade, compare the release, license, hardware fit and two representative
tasks. Keep the previous working version until satisfied.
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If interrupted, reopen the launcher and retry. The importer checks cached assets and resumes
incomplete downloads. Do not call a download a successful installation.
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Export the sanitized support report and review it before sharing. Describe the step and error
without sending confidential task text.
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Use the supplied uninstall guidance to remove only HT Sherpa's files. Delete uploaded context,
provider projects and connector permissions separately.
7. Future customer-controlled infrastructure
Coming soon, not deployed. Before provisioning, decide cloud account ownership,
region and residency, workload, model/GPU fit, private network access, authentication and MFA,
tenancy, encryption keys, storage, backup retention, logs, patching, recovery and operational
responsibility. A customer-controlled virtual machine may still use shared physical hardware.
Build an itemized estimate: compute hourly rate × running hours; persistent storage GB × monthly
rate; snapshots/backups; network transfer and private endpoints; monitoring; support and
operations time. Include shutdown behavior and budget alerts. No all-in quote or infrastructure
order is included here.
For regulated data, assess the intended workload, current eligible services, applicable
agreements such as a BAA, and the actual configuration before use. Hosting in a customer's
account is not by itself a compliance determination.
Quick glossary
- Inference
- Running a model to produce a response.
- Local / hosted
- Processing on your computer / processing by another service.
- Connector
- An integration that reads or changes information in another system.
- Checksum
- A file fingerprint used to detect mismatched bytes.
- Profile
- Your recorded choices, distinct from verified device settings.
- Rollback
- Returning to a retained working release after an explicit change.
Optional references and provenance
Original HT Sherpa guidance. General principles adapted from owner-provided governance and
practical security materials: record reasons, preserve entrusted information, narrow authority,
distinguish verified facts and develop user capability. No private examples or source quotations
are included.
Provider interfaces and terms change. Consult current official documentation for your exact
account and product. This packet describes preview capabilities; it does not attest to your
device, provider account or future infrastructure.