AI agents don't learn from their mistakes.
AI agents can write code, run tests, and ship features. But they start every session from scratch — no memory of what worked, what failed, or what to do differently.
SLOPE gives them a framework that produces data humans can actually use.
AI Agents Are Powerful. But Chaotic.
Without structure, session 50 looks exactly like session 1. SLOPE is designed around the three constraints that make AI agents unreliable at scale.
Context loss
Agents crash, compact, and restart from zero. Everything they learned last session is gone.
No consistency
Every session is ad-hoc. Quality depends on luck, not process. The agent might check tests, might not.
No improvement
Same mistakes, same blind spots, no trends. No data to tell you if things are getting better or worse.
How SLOPE Solves This
Plan
Briefing reads from disk — scorecards, hazard maps, codebase context. The agent starts informed, not blank.
solves: context loss
Execute
Fixed routines at every stage. Same steps, same order. Automated guards catch common mistakes before they land.
solves: inconsistency
Score + Learn
Every sprint produces a scorecard. Rolling stats build a performance index. Miss patterns and hazard maps feed back into the next Plan.
solves: no improvement
Sprint 1 plans blind. Sprint 50 plans with 49 sprints of structured data.
See It In Action
The difference is data.
Without SLOPE, you get a wall of text. With SLOPE, you get structured output — a scorecard, stats, and a clear next step. Switch the vocabulary to see it in your team's language.
ERROR: Agent crashed mid-sprint, no recovery point
$ git log --oneline | wc -l → 47 commits, no pattern
WARN: Same bug as 3 sprints ago
$ how many tests? → "not sure, maybe 200?"
ERROR: Context lost on compaction
$ what improved? → "hard to say"
... (scrolls for 500 more lines)
── Hole 28 ────────────────────
"User Auth & Session Management" │ Par 4
| # | Shot | Club | Result | Hz |
|---|---|---|---|---|
| S28-1 | Add login endpoint | Wedge | ✅ Green | ─ |
| S28-2 | JWT token flow | Short Iron | ✅ Fairway | ─ |
| S28-3 | Session middleware | Long Iron | ⚠ Bunker | 1 |
| S28-4 | Auth guard tests | Putter | ⭐ Hole! | ─ |
Score: 4 (Par) │ Handicap: 1.2 ↓
FW: 100% · GIR: 75% · Putts: 0.25
Hole complete. What next?
One Framework, Six Languages
Same engine. Different vocabulary.
The scoring engine doesn't change — only the language does. Pick the metaphor your team already understands.
| Concept | Metaphor Term |
|---|---|
| Sprint | Hole |
| Ticket | Shot |
| Scorecard | Scorecard |
| Performance Card | Handicap Card |
| Briefing | Pre-round Briefing |
| Perfect Score | Hole-in-one |
| On Target | Par |
| Review | 19th Hole |
| High-risk approach | Driver |
| Precision approach | Wedge |
| Known gotcha | Bunker |
| Breaking change | Water |
| Scope creep | Out of Bounds |
It Works
Consistent routines compound.
Estimation Accuracy
How often sprint scoping is on target
Delivery Accuracy
How often tickets land as planned
Performance Index
Overall rating (lower is better)
In Sprint 12, the same bug appeared for the third time. SLOPE flagged it as a recurring hazard. It never appeared again.
Every metric on this page comes from the reference implementation — 28 sprints of real work.
Quick Start
Four steps. First sprint.
Get started with CLI commands or natural language prompts. Same flow, your choice.
npm install -g @srbryers/cli slope init Initialize
Set up SLOPE in your project. Pick a metaphor. Configure guards.
slope briefing Get briefed
Get a pre-sprint briefing: risk index, performance snapshot, known issues.
slope card Check your card
Check your performance card — rolling stats across multiple windows.
slope review Review the sprint
Generate a sprint review with ticket-by-ticket analysis and improvement recommendations.
Go Deeper
Ready to score your sprints? Start with the CLI. Want the full technical breakdown? Read the framework.
Start scoring your sprints
npm install -g @srbryers/cli Then run slope init in your project
Read the full framework
Scoring engine, metaphor system, guards, routines, and the complete methodology.
The SLOPE Framework@srbryers/core · @srbryers/cli · @srbryers/tokens · @srbryers/mcp-tools
SLOPE is an open-source sprint scoring framework for AI agent teams.
Built with Astro, Tailwind, and GSAP. Live stats from the reference implementation.