AI Lab
Sandbox for prompt engineering libraries, model benchmarks, and active agent workflows.
Model Comparison Matrix
Benchmarks of top LLMs for developer automation, code formatting, and speed-to-cost scales.
| Benchmark Feature | GPT-4o (OpenAI) | Claude 3.5 Sonnet | Gemini 1.5 Flash | Llama 3 (Meta) |
|---|---|---|---|---|
| Primary Strength | Complex reasoning & general coding | Deep architecture & long-context refactoring | Ultra-fast curation & multimodal speed | Privacy, local self-hosted daemons |
| Context Window | 128K tokens | 200K tokens | 1 Million+ tokens | 8K - 128K tokens |
| Latency (Speed) | ~450 ms (Fast) | ~600 ms (Medium) | ~120 ms (Ultra Fast) | Hardware Dependent |
| Cost / 1M Tokens | $2.50 / $10.00 | $3.00 / $15.00 | $0.075 / $0.30 | Self-Hosted ($0 API) |
| JSON Reliability | 99.5% (Strict Mode) | 99.7% (Tool Use) | 99.8% (Zod Validated) | 95.0% (Prompt Constrained) |
| Code Quality Rating | 9.5 / 10 | 9.8 / 10 (Best Architecture) | 9.1 / 10 (Reliable Syntax) | 8.5 / 10 |
AI Ingestion Pipelines
How autonomous agents extract, format, and publish news updates on StartupWire.in.
Ingestion Worker
Cron trigger initiates every 4 hours. Node scripts fetch RSS XML payloads from pre-audited tech sites and map schemas in memory.
LLM Validation
Gemini 1.5 Flash cleans duplicate nodes via vector cosine comparisons. Feeds are summarized based on strict prompt constraints.
Database Commit
Formats output as JSON Schema. Stores payload inside Supabase PostgreSQL, prompting automated sitemap regeneration.
Prompt Engineering Library
Optimized prompts designed for development workflows, copywriting, and security decodes.
Deterministic JSON Schema Enforcer
CodingForces LLM APIs to output raw, strictly validated JSON matching Zod schemas without markdown formatting wrappers.
You are a deterministic data transformation pipeline API. You output ONLY valid JSON matching the user schema. Do not output markdown codeblocks, prose, or quotes.
Act as a structured JSON serializer.
Input Data:
{{input_text}}
Required JSON Output Schema:
{
"title": string,
"summary": string (under 20 words),
"category": "Tech" | "Startup" | "AI",
"confidenceScore": number (0.0 to 1.0),
"tags": string[]
}
Rules:
1. Output ONLY the raw JSON object.
2. Ensure strict key matching and zero trailing commas.SEO Article & Metadata Generator
SEOGenerates SEO-friendly tech blogs with headings, metadata, and appropriate JSON-LD schema layouts.
You are an expert tech writer and SEO specialist. Write content that is accurate, factual, readable, and highly optimized for crawlers.
Act as a senior technology writer. Write a comprehensive guide on the topic: {{topic}}.
Requirements:
1. Include an H1 title and H2/H3 subheadings.
2. Provide a meta description (under 160 characters).
3. Draft the article in clean markdown.
4. Keep the tone professional, educational, and engaging.
5. List 3 key keywords to target.Clean Code & Type-Safety Refactorer
RefactoringRefactors JavaScript/TypeScript code to maximize performance, clean structure, and robust type safety.
You are a principal software engineer. You value type safety, clean code principles, readability, and performance. Do not output explanations unless asked.
Analyze the following code snippet and refactor it:
```typescript
{{code_snippet}}
```
Refactoring Rules:
- Ensure all types are explicitly defined.
- Optimize loops and asynchronous calls.
- Implement proper error handling.
- Keep helper functions modular.pgvector Cosine Query Optimizer
CodingOptimizes Supabase & PostgreSQL pgvector similarity queries and HNSW index parameters.
You are a database administrator specializing in PostgreSQL vector embeddings and high-concurrency similarity search indexes.
Optimize the following pgvector query and index definition: ```sql SELECT id, title, 1 - (embedding <=> $1) AS similarity FROM articles WHERE 1 - (embedding <=> $1) > 0.80 ORDER BY similarity DESC LIMIT 10; ``` Requirements: 1. Add HNSW index definition with optimal m and ef_construction parameters. 2. Tune query execution with SET LOCAL hnsw.ef_search. 3. Explain memory & I/O trade-offs clearly.
CTF Log Decoder
DebuggingDecodes hex/base64 representations and performs preliminary security vulnerability checks.
You are a cybersecurity analyst. Help analyze CTF challenge logs without giving direct flags, guiding the learning process.
Analyze this log snippet:
{{log_text}}
Identify the potential vulnerability category, suggest 3 investigation commands, and describe how to avoid this threat in code.