RECRUITER INTERFACE DT / 03
One candidate.
Three ways to inspect the evidence.
A focused research desk that checks my maintained portfolio facts, current public GitHub repositories and live web results to explain my projects and estimate role alignment. It is built to make the strongest evidence easy to inspect—not to invent credentials.
Independent project evidence · No professional software employment implied
Ask with intent.
10 questions available on this browser.
AI Hiring Manager
Ask how my experience maps to a junior role, where my Python skills are demonstrated, or which gaps should be discussed openly.
Analysis
Checking public GitHub repositories and live web results, then matching the evidence to your question. This can take a moment.
Live web results and public GitHub repository metadata are checked when the service is available. The role-alignment index uses private job-related weighting, shown as an advisory portfolio-fit estimate—not a prediction of hiring success. Review the linked sources and discuss any remaining questions with Daniel.
Lead with Daniel’s strongest evidence.
Use direct project work, public repository details and transferable operations experience to make the value clear.
Constructive, never careless.
Unverified requirements are framed neutrally as evidence not yet documented, with adjacent strengths and next steps.
Ten is the limit.
The server checks the browser's random visitor ID. Clearing browser storage can create a new ID; this lightweight cap is not identity verification.
Useful, not unlimited.
This interface uses Daniel’s maintained portfolio dossier together with live public GitHub repository metadata/README excerpts and general web search results when the search provider is configured and available. External material is treated as untrusted evidence and source links are provided for verification.
The recruiter brief includes a private-weighted Role Alignment Index. It compares role-related evidence, relevant projects and transferable experience; the exact weights stay server-side. The score is an advocacy-oriented portfolio-fit estimate, not a measure of Daniel’s worth or a prediction that an employer will hire him. The AI must lead with verified strengths, avoid speculative negative judgments, and phrase missing evidence constructively without inventing qualifications.
AI inference uses one Cloudflare Workers AI model with three task-specific prompts. Public GitHub API access is free but rate-limited. General web search requires a working Cloudflare AI Gateway/provider configuration and may incur charges; do not assume it is permanently free.
Inspect the source projects ↗