Market & Source Research
Evidence-backed research systems for market scans, disclosures, investor materials, source monitoring, and repeatable report generation.
These categories describe the work founders ask for: support, onboarding, sales ops, internal tools, data reporting, engineering delivery, content ops, and adjacent skill areas. Public showcases add examples where we have them.
Agent loops, browser workflows, approvals, handoffs, and repeatable operational work that should move faster without losing human control.
Simulation, tournaments, model comparisons, strategy search, and evaluation loops for testing AI behavior before it reaches production.
Aggregation, enrichment, source health, normalization, backfills, and data-quality workflows that keep business reporting dependable.
AI-assisted PRs, CI repair, deployment checks, code review, adapter authoring, and production verification workflows.
Research-to-draft systems, social content, generated media, scripts, summaries, and publishing workflows with review boundaries.
Dashboards, analytics views, search pages, admin tools, SEO pages, and data-driven product surfaces for repeated team use.
Support review, inbox triage, marketplace administration, browser-based workflows, and local productivity systems.
Evidence-backed research systems for market scans, disclosures, investor materials, source monitoring, and repeatable report generation.
Video review, event labeling, visual QA, and computer-vision systems that turn media into decisions or coaching outputs.
Intake, activation, customer education, setup QA, and handoff workflows for teams that need customers live faster.
Lead research, account preparation, pipeline hygiene, follow-up drafting, and sales-support workflows.