Build a Personal AI Research Assistant with Perplexity + Claude in 90 Minutes
Build a 4-step AI research pipeline using Perplexity Pro and Claude Sonnet 4.6 in 90 minutes — with the exact chain prompt that prevents hallucination bleed.
Build a 4-step AI research pipeline using Perplexity Pro and Claude Sonnet 4.6 in 90 minutes — with the exact chain prompt that prevents hallucination bleed.
50 copy-paste prompts for Claude Sonnet 4.6 across 10 categories — research, code review, writing, data analysis, and prompt chaining — with system prompts and operator gotchas included.
50 tested AI prompts across writing, coding, SEO, email, and 6 more workflows — with model recommendations, token costs, and documented failure modes.
Claude Sonnet 4.6 vs GPT-4o: GPQA 69.2% vs 54.2%, $3 vs $2.50/MTok, and which wins across 5 real business tasks from contracts to Python refactors.
Claude API for business: 4 real use cases with exact token costs. Email drafting at $18/mo, contract extraction at $0.03/doc. Setup in under 2 hours.
Build a customer support triage agent with n8n 1.90+ and Claude Haiku 4.5. Step-by-step guide, workflow JSON export, cost: $1.50/1,000 runs.
Claude Opus 5, GPT-5.6, and Kimi K3 all shipped within 15 days. Pricing, benchmarks, and open weights compared so you can pick the right model.
Portkey’s semantic caching cut GPT-4o costs 79% in production. An honest look at Portkey vs Helicone vs LiteLLM — what each delivers, real pricing, and the retry-logic gotcha that breaks latency SLAs.
KV cache is why your LLM app gets slow on long conversations. Here’s how prompt caching, vLLM, and SGLang actually work — and what breaks in production.
The documented solopreneur AI stack: Claude Pro, Perplexity Pro, n8n, and Descript for $100-127/month — with exact workflows, failure modes, and ROI math.