Progressical Platform
The harness doesn't stop changing.Your optimizer shouldn't either.
An audit finds the signal leaks. A rebuild fixes them. The Platform is what keeps them fixed — automatically — as your models swap, traffic shifts, and user behavior evolves.
The problem with point-in-time fixes
Services fix a moment. The Platform fixes the loop.
An audit is a snapshot. A rebuild is a better snapshot. Both are valuable — they're how you get to a production-quality harness baseline. But harnesses drift.
Your retrieval configs silently degrade when document libraries grow. Your prompt templates stop working when the underlying model is updated. Your eval baselines become stale when user behavior shifts. Your context compression settings, optimal when you tuned them, start losing signal the moment traffic patterns change.
The teams that maintain the best-performing AI features don't re-audit every six months. They instrument the harness and let the tooling catch regressions before users do.
That's the Platform.
Capabilities
Continuous optimization, not quarterly tune-ups.
Automated trace ingestion
OpenTelemetry-native. Drop in the collector; no instrumentation changes required. Every production interaction becomes a data point.
Harness diff analysis
When a prompt template, retrieval config, model version, or memory policy changes, the Platform surfaces exactly what moved and which eval cases are now at risk.
Cost-quality Pareto optimizer
Surfaces the compression and routing moves that preserve quality at lower token cost. Shows the curve; your team approves the tradeoffs.
Eval-backed rollout gates
No harness change ships without passing the eval baseline from your Rebuild. Catches regressions before they reach production.
Regression monitoring
Continuous eval runs against the production harness. Alerts when model swaps or traffic shifts degrade performance against your graded test cases.
Auto-generated harness patches
Proposes specific, reviewable fixes — not black-box rewrites. Every suggestion comes with a diff, an eval delta, and an estimated token-cost impact.
The full engagement path
Audit and Rebuild get you to baseline. Platform keeps you there.
Step 1 · Weeks 1–2
Audit
Map the harness. Find the signal leaks. Deliver the prioritized fix list.
Step 2 · Weeks 3–6
Rebuild
Fix the highest-cost failure modes. Ship as a PR your team owns. Build the eval set that measures everything that comes next.
Step 3 · Continuous
PlatformPlatform
Instrument the rebuilt harness. Run evals on every change. Catch regressions automatically. Propose and gate improvements.
Audit and Rebuild are available standalone. The Platform is most effective after a Rebuild, because the eval set from the Rebuild becomes the Platform's ground truth.
Availability
In closed development. Early access for Audit and Rebuild customers.
The Platform is being built in parallel with Progressical's service engagements, using real production harnesses as the development substrate.
Early access is available to teams that complete an Audit or Rebuild. If you're already a customer and want to be first on the list, reply to your audit delivery email or contact us directly.