TITAN.SAVANTLLM · COMING SOON NO RELEASE DATE ANNOUNCED

INTELLIGENCE, ON YOUR TERMS

Models come and go.
You don’t.

Technology can replace models every week.
Your life shouldn’t have to start over.

Remember everything.
Carry what counts.
Learn from what matters.

Titan.SavantLLM, or sLLM, is the upcoming free local-intelligence tier of Savant. It is being built to help qualify a suitable model for your computer and connect it to supporting memory and the tools you authorize.

Coming soon No release date announced

THE CONTINUITY GOALYOUR WORLD, FIRST
WHAT YOU CHOOSE TO KEEP

The thread is yours.

Your preferences · Your work · Your decisions

SavantMemory. Qualification. Choice.
A local modelQualified for the task
A cloud modelOnly when you choose
The model is replaceable. Your context should not become disposable. This diagram describes the design goal.

01 Remember what you choose.

02 Carry what counts.

03 Learn from what matters.

MORE THAN ANOTHER ANSWER

A life has context.
Intelligence should respect it.

01

Remember
what you choose.

Some things deserve to stay: a preference you keep repeating, a decision behind your work, or a correction that matters. The goal is supporting memory you can inspect, correct and remove. Remembering and forgetting belong to you.

02

Carry
what counts.

A new model should not mean introducing yourself again. Savant’s continuity goal keeps approved context outside any single model’s weights. Changing models can still change response quality, speed and task suitability.

03

Learn
from what matters.

A useful correction should help the next attempt. The goal is to retain approved corrections and verified outcomes, retrieve them when relevant, and check whether they helped. This is learning through supporting memory and experience—not retraining the model with every conversation.

SEE THE DISTINCTION

Change the model.
Keep the thread.

Explore an example of what continuity should preserve and what a different model can change.

A change of model. A thread of continuity.

Explore the continuity goal.

Illustrative walkthrough—not a live model test. Fictional profiles, not qualified configurations.

Choose a profile to explore the trade-offs. The example context stays visible. This illustrates the goal of carrying context between intelligence sources; it does not demonstrate a working model handoff.

Example context

What should carry forward

Preference
Use short paragraphs
Project
Prepare the community workshop
Correction
Meeting moved to Thursday
Permission
Draft email; ask before sending

Continuity goal: keep the relevant context and permission boundary available when the intelligence source changes. Model behavior still needs verification.

Fictional model profile

Compact

Memory considerations
A smaller memory target leaves more room for other work. Actual use depends on model format, context length and runtime.
Task considerations
Explore short drafts and bounded everyday tasks. A smaller profile still needs testing on the work that matters to you.
Quality qualification
Check whether it follows corrections and permissions reliably. Small does not mean qualified, and speed does not prove quality.

Compact illustrative profile selected. Example context unchanged.

INTENDED EVERYDAY WORKFLOWS

Useful in the life
you’re already living.

Life, with less repeating.

Resume a weekend plan using an approved preference and a corrected date, instead of explaining the whole situation again.

The intended memory controls decide what is kept. A passing thought need not become a permanent record.

Work that carries forward.

Return to a project with its brief, decisions, relevant documents and next action available.

Files need authorization. An earlier answer is not automatically verified evidence.

Email, with clear authority.

Find a message in an authorized account, understand the request and prepare a useful reply.

Drafting and sending are separate actions. A prepared reply is not a sent message.

A home you remain in charge of.

Propose a supported lighting routine and show the intended changes before execution.

Device support, approval and the actual outcome must be established by the integration.

These are intended workflows, not claims of currently available integrations. The initial free tier targets everyday assistance. Demanding production coding may be better served by a qualified frontier model.

GO A LITTLE DEEPER

Understand the pieces.
Choose with confidence.

PART OF SOMETHING BIGGER

Your intelligence.
Your choice.

Built by We Are Titans. Published by TitanArray. Informed by the model research and evidence at SynOct.

Meet the builders