Inspect running projects and structured solutions with clear delivery scope, technical boundaries, and evidence.
Operational incidents move from a short brief to an auditable response: five agents handle triage, evidence, impact, response planning, and communications while high-risk actions stop at a human approval gate.
A Rust event-driven core and React trading terminal connect market monitoring, strategy management, parameter sweeps, backtest reports, and account oversight through one traceable REST and WebSocket surface.
FrameForge rebuilds script2video-ai from a feature SaaS into Reallier-owned private comic-video production: new UI, demo flow, operation console, provider runtime, and automated acceptance.
Text, image, and multi-view generation enter a controlled production chain where assets can be located, edited deterministically, versioned, rolled back, converted, and geometry-checked.
A noisy, multi-tool, long-running market research workflow measures end-to-end latency, planner redundancy, tool call success, human intervention, recovery, cost, and trace coverage.
An operable exhibit that splits search, attachments, and backup out of a mixed cloud host for 250 consultants. Cost reduction is not the story on this page.
Demo, engineering estimates, benchmark, and evaluation frame latency, throughput, cost, Recall@K, and evidence coverage for hiring intelligence.
Each media type gets the right open-source processing path, then flows into one retrieval layer for cross-media semantic search.
Use awesome-selfhosted as the starting point, then review licenses, maintenance, deployment risk, security history, and operations boundaries.
For R&D, outbound, and AI application teams, govern high-latency links, auto-testing, protocol layers, exit-IP risk, and download traffic separately.
Unify website chat, WhatsApp, Telegram, and enterprise messaging into one support layer with knowledge-grounded replies and human handoff.
IT, HR, Finance, and Legal policies, SOPs, templates, and approvals become a permissioned assistant that moves from answers to actions.
Competitor, sentiment, policy, and industry signals are collected, summarized, archived, and delivered so teams read decisions instead of raw noise.
Traces, datasets, automated evaluation, CI gates, and dashboards make every prompt, agent, and RAG iteration evidence-based.
Model APIs, agents, and app entry points are tested for jailbreaks, injections, leakage, and tool abuse, then turned into remediation reports.
