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Showing results for "constrained-random"
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Budgeting Under Pressure
Create a planning framework for evaluating government budget trade-offs under constrained resources. Include scenario analysis for funding for immigration enforcement, federal programs, and essential ...
Tags:
budget,
governance,
public-service,
policy-analysis,
resource-allocation
Author: CurioPrompt
Category: Economics | Model: gpt-5-nano
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Refactoring with Invariants: Assertions and Contracts
Create a method to add assertions/contracts before refactoring so behavior is constrained. Include invariant selection, runtime cost management, and removal policy.
Tags:
invariants,
assertions,
contracts,
refactoring,
safety
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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Scoped Repo Understanding Agent: Map the System
Create an agent that builds a “system map”: modules, ownership, dependencies, and critical paths. Use it to constrain edits to low-risk areas first.
Tags:
codebase-map,
dependencies,
ownership,
risk-reduction
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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Safe Codegen: Enforce Templates and Constraints
Design a constrained codegen system: templates, typed interfaces, and lint rules that prevent unsafe patterns. Include a “reject list” of disallowed code constructs.
Tags:
codegen,
constraints,
templates,
lint,
security
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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Policy Gate: What Self-Edits Are Allowed
Draft a policy that constrains self-edits: allowed files, banned operations, secrets handling, network access rules, and “human approval required” triggers.
Tags:
policy,
guardrails,
least-privilege,
secrets,
governance
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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Evaluation Harness: Deterministic Replays
Build an eval harness for self-edits: deterministic tool mocks, seeded randomness, replayable runs, and stored artifacts for auditing decisions.
Tags:
evals,
reproducibility,
mocks,
replay,
audit
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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Safety in Multi-Agent Systems: Containment and Roles
Design a multi-agent architecture with safety: role separation, constrained tools, message filtering, and cross-checks. Include failure modes and an evaluation plan.
Tags:
multi-agent,
architecture,
containment,
cross-checks,
safety
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
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Testbench Acceleration: Directed + Random Hybrid
Design a hybrid verification approach: minimal directed tests for bring-up, constrained-random for coverage, and targeted stress tests for corner cases. Include how to triage failures quickly.
Tags:
verification,
strategy,
directed,
constrained-random,
debug
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
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CRC/Checksum Module Design + Verification
Design a CRC module (parameterized polynomial/width): streaming interface, latency options, and reset behavior. Provide SVAs and randomized tests to prove correctness.
Tags:
CRC,
checksum,
streaming,
verification,
RTL
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
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Evaluation Harness for Agents: Reproducible Runs
Design an eval harness: deterministic replays, seeded randomness, fixed tool mocks, and artifact snapshots. Provide a folder structure and CI integration plan.
Tags:
evaluation,
harness,
reproducibility,
CI,
testing
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
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Constraint Authoring: SDC Patterns That Scale
Write scalable SDC patterns: generated clocks, clock uncertainty, I/O constraints, clock groups, and exceptions. Include best practices to avoid over-constraining and how to validate constraints with ...
Tags:
SDC,
constraints,
STA,
generated-clocks,
advanced
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
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Guarded Generation via Constraints
Implement constrained decoding: lexically constrained beam search, regex/JSON constraints, and numerical guards. Provide examples and edge-case tests.
Tags:
LLM,
constrained-decoding,
regex,
beam-search,
validation
Author: Assistant
Category: controlled-generation-LLM | Model: gpt-4o
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Domain-Safe Modes (Medical/Legal)
Specify constrained modes with scope limits, consent prompts, guideline links, and mandatory citation density. Provide refusal templates and domain-specific disclaimers.
Tags:
governance,
medical,
legal,
safety,
mode-switch
Author: Assistant
Category: policy-governance | Model: gpt-4o
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CONSORT Trial Protocol Scaffold
Act as a clinical PM. Draft a randomized trial protocol scaffold aligned to CONSORT: arms, allocation, blinding, endpoints, statistical plan, DSMB, and stopping rules. Include a timeline Gantt skeleto...
Tags:
clinical-trial,
CONSORT,
protocol,
DSM,
statistics
Author: Assistant
Category: clinical-research | Model: gpt-5
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Reproducible Research with Containers
You are a research TA. Create a template for containerized experiments using Docker and Makefiles. Include dependency pinning, random seed policy, and artifact logging. Provide a repro checklist.
Tags:
reproducibility,
Docker,
research,
Makefile,
seeds
Author: Assistant
Category: education | Model: gpt-4o
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A/B Prompt Experiment Plan
Design an A/B (or multivariate) experiment plan to compare two prompts for the same task. Include: hypotheses, metrics (precision/recall or qualitative rubric), sample size heuristic, randomization me...
Tags:
prompt|ab-test|metrics|csv|experiment
Author: Curioforce Corp. Corp.
Category: Prompt-Improvement | Model: gpt-5-thinking
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Robotics Dev Co.: Sim-in-the-Loop CI Pipeline
You are a robotics CI lead. Design a sim-in-the-loop pipeline for perception + planning stacks. Deliver: scenario library spec (lighting, occlusion, rare edge cases), metrics (success %, collision=0, ...
Tags:
robotics,
simulation,
CI/CD,
testing,
telemetry,
metrics
Author: Tsubasa Kato
Category: Engineering | Model: GPT-5 Thinking
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