Approach
How Threadbaire stops AI context loss, LLM-agnostic, no retraining. Outcomes and governance you can trust. Proof lives on the Demo; the method is delivered in the Paid Pilot.
Data stays in your stack. We never train on your content. EU residency is respected. Privacy
What breaks without memory
- Cross-thread amnesia. Answers ignore prior decisions; teams re-explain work.
- Brittle handoffs. Ownership changes require hours of catch-up; “why” is buried in chat.
- Rework & latency. Model swaps drift answers; no comparable outputs across GPT/Claude.
How Threadbaire fixes it
Threadbaire is a portable, provenance-first memory layer. It captures what changed, why, who, and source, then replays that context across models.
- Portable memory slice. A scoped, portable slice that travels with the project.
- Receipts. Each answer links back to sources so lineage is auditable.
- LLM-agnostic replay. Run the same slice on GPT & Claude and compare outputs.
- Drift guards + normalizer. Keep answers aligned when models or policies change.
Plain English: if answers wobble after a model change, we steady them or adjust the memory we pass in—without retraining.
Success = the same deciding facts show up across models and the next step matches the objective. See it on the Demo
Where it lives in your stack
- Runs in your accounts. Works with GPT and Claude today; no retraining required.
- Optional tools. Jira / Notion / Slack are supported for sources and handoffs (admin/plan permitting).
- OpenAI-compatible friendly. Rides on top of OpenAI-compatible proxies/context extenders.
- Air-gapped supported. We operate in restricted environments where needed.
Threadbaire focuses on decisions & receipts, the what/why/who/source behind changes. Storage ≠ Strategy.
Who it’s for (Litmus)
- You’ve had an incident, a model/vendor swap, or stakeholders ask “who approved this and why?”
- Named ownership exists per thread; decisions affect users, scope, or compliance.
- Provenance matters: you need receipts for audits, handoffs, or exec review.
See the full eligibility checklist in the Paid Pilot.
Governance & change
- Versioned pass criteria. Expectations are explicit and evolve with your stack.
- Drift response. When outputs diverge, apply governors/normalizers or adjust the slice.
- Ownership & audit. Decision receipts keep approvals and sources reviewable.
The detailed validator rules, adapters, and manifests are part of the Paid Pilot.
Buy vs build. Storage is easy. Keeping names, rules, and receipts consistent when models change is hard. We ship those pieces now so your team avoids months of trial-and-error.
When not to use Threadbaire
- Pure retrieval/search with no ongoing decisions.
- One-off prompts with no ownership or provenance needs.
- Exploratory play without defined stakes or timelines.
Implementation paths
- Evaluation harness. A minimal harness to run replay compares in your accounts (delivered via Pilot).
- Adapters. Model and tool adapters provided in the Pilot; hardened for your environment.
- Handoffs. Patterns for PM ↔ Eng/Research ↔ Exec to keep decisions portable.
Typical Pilot: 2–3 weeks end-to-end; async by default with one revision pass.
See live proof on the Demo.
Security posture
- No retention or training. We don’t retain or train on your content.
- EU residency. Data residency respected; DPA on request.
- Air-gapped & least-privilege. Available where required.
We run with your API keys; receipts export is explicit; EU residency is supported. For footprint & data flows, see Privacy and Pilot.
FAQ
Do we have to retrain or fine-tune anything?
No. Threadbaire keeps context portable and comparable across models. We run in your accounts; no retention or training on your content.
Where does it run and what data leaves our stack?
It runs in your accounts (GPT, Claude, etc.). We don’t retain or train on your content. EU residency is respected; DPA available on request. Air-gapped setups are supported.
What happens when models change and answers drift?
We replay the same slice, compare outputs, and consult receipts. If there’s drift, we apply governors/normalizers or adjust the slice. Pass criteria are versioned.
When is Threadbaire not the right fit?
Pure retrieval/search tasks or one-off prompts with no ownership/provenance needs.
Can we see the spec, schema, or prompts?
Public site = proof, not recipe. The detailed method (formats, validators, manifests) is gated in the Paid Pilot.
“We swapped models twice this quarter, Threadbaire kept the story straight and our PM handoffs under 20 minutes.”