Research the AI tools our team could actually use day-to-day and hand back a documented shortlist with clear tradeoffs, pricing, and where each one fits.
XenonDev builds software products, and the AI tooling landscape has gotten noisy fast. Every week there's a new model, a new IDE plugin, a new agent framework. We need someone to sit with it for a few weeks and come back with a clear picture of what's actually worth using.
Deliverable: a documentation file (Notion, Google Doc, or Markdown — your pick) that covers roughly 12–20 AI tools across categories we care about — code generation, design assistance, research and writing, meeting and workflow automation, and agent frameworks. For each tool, we want the same short profile: what it does, who it's for, pricing, one honest strength, one honest weakness, and a one-line recommendation for whether XenonDev should pilot it, watch it, or skip it.
We're not looking for a hype list. If a tool is overrated, say so. If two tools do the same thing and one is clearly better, say that too. Group the final shortlist so a product manager reading it in ten minutes knows what to try first.
You'll get: a short kickoff call with Shaheer to align on the categories, our current stack so you know what we already use, and a template for the per-tool profile. Reviews happen at each milestone.