TitanSavantINTELLIGENCE, ON YOUR TERMS
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
Your preferences · Your work · Your decisions
01 Remember what you choose.
02 Carry what counts.
03 Learn from what matters.
MORE THAN ANOTHER ANSWER
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.
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.
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
Explore an example of what continuity should preserve and what a different model can change.
A change of model. A thread of continuity.
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
Continuity goal: keep the relevant context and permission boundary available when the intelligence source changes. Model behavior still needs verification.
Fictional model profile
Compact illustrative profile selected. Example context unchanged.
Where a provider offers and approves a compatible connection, you may link your own eligible AI subscription. Your provider's plan limits still apply. We do not share subscriptions between members, promise additional session time, or request your browser credentials.
The planned service would provide Titan-managed frontier inference through your existing Titan account, with a separate personal usage allowance, visible metering, and clear spending limits. Provider authorization, supported models, pricing, and allowances remain subject to confirmation. This is not pooled access to ChatGPT or Claude web subscriptions.
Run qualified models on hardware you control. No cloud subscription or provider login is required. Atlas is intended to help configure a local Savant; using cloud inference later is optional and requires your permission.
Provider sign-in, permission to use a plan, permission to send context and approval for paid fallback are separate choices. A provider limit or failed connection must not silently charge another balance. Mission actions require their own authority.
Planned connections. Provider support and eligibility will be confirmed before any connection is offered.
Whatever path you choose, Titan.Savant is designed to keep your memory, context, and permissions independent of the model providing inference.
TitanCompute · planned managed inference
Titan.Savant brings your memory, context and permitted work together. TitanCompute is the planned funding and metering layer for frontier inference within that system. It would support Hosted Savant and optional cloud use in Hybrid, through one Titan account and an individual usage allowance. Titan would manage provider purchasing; you keep a clear view of your model, usage and spending limits. Local Savant remains independently usable.
Explore the planned TitanCompute layer
Coming soon. Provider authorization and supported models remain to be confirmed. Availability, included allowances and member rates have not been announced.
INTENDED EVERYDAY WORKFLOWS
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.
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.
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.
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
Models, runtimes, supporting memory, permissions and tools.
02 / LOCAL SETUPUnderstand what qualification should check. Try the planning guide.
03 / ONE ATLASThe unchanged core, model choice and Nessa’s separate review role.
04 / YOUR AUTHORITYMemory choices, account access and clear local/cloud boundaries.
05 / THE CURRENT STATEWhat is available on this site, what is planned and what needs proof.
06 / THE BUILDERSThe people and digital builders behind the work.
PART OF SOMETHING BIGGER
Built by We Are Titans. Published by TitanArray. Informed by the model research and evidence at SynOct.
Meet the builders