Ingest your existing AI conversations. Distill into a local model. 80-90% of tasks run free. Hard problems still go to frontier APIs.
80-90%
Cost reduction
80-85%
Quality score
15-60m
Training time
7
Sources
Auto-detect local tool data or drag-and-drop exports. 7 sources, one schema.
5-layer PII stripping: names, API keys, internal URLs, file paths, business context.
Score conversations 0-1.0 on quality. Deduplicate with MinHash + semantic hashing.
LoRA fine-tune on H100. Export GGUF. Run with Ollama or llama.cpp.
Routine tasks run locally for free. Only hard problems hit paid APIs.
Beyond standard PII — catches API keys, infra secrets, code paths, business context.
Standard PIIPresidio
Names, emails, phones, addresses
API Keys & Tokensdetect-secrets
sk-*, AKIA*, ghp_*, Bearer tokens
InfrastructureCustom
Internal URLs, DB connections, private IPs
Code PathsRegex
File paths, package names, git remotes
Business ContextConfigurable
Company names, products, terminology
Fix the API call to https://api.wdc.internal/v2/pricing using key sk-proj-aK7x...mN9q ssh venkat@10.0.1.42 "cd /opt/dema/api && git pull" File: /Users/venkat/wd-tools/src/api.ts
Fix the API call to [INTERNAL_URL_1]/v2/pricing using key [API_KEY_1] ssh [USER]@[PRIVATE_IP_1] "cd [DEPLOY_PATH_1] && git pull" File: /Users/[USER]/[PROJECT_1]/src/api.ts
Frontier
Claude Sonnet 4
95/100
$3-5/task
Brewmode
Your fine-tuned 8B
80-85/100
$0/task
Base
Qwen3-8B (untrained)
55/100
$0/task
Closes 68% of the gap between base and frontier — at zero marginal cost.