Most AI consultants show slides. Tacavar shows the metal. Every system on this page runs in production — 24/7, in real environments, with real data. When we architect your stack, we pull from here.
All autonomous work flows through Hermes: a multi-platform agent gateway that receives inputs from Telegram, Discord, and web interfaces, routes tasks to the right LLM, enforces approval gates, and coordinates with specialized agent teams.
Each agent team operates as a specialized unit with its own context, tools, and guardrails. They share the same orchestration spine — which means capabilities compound across teams rather than siloing.
Pulls from 8 source streams — HN, Reddit, arXiv, podcasts, GitHub trending, SERP, newsletters, and private feeds — on a daily cadence.
Takes raw signal and produces thematic clusters, weekly briefs, and ranked opportunity lists. Uses long-context Claude for pattern recognition.
Audits every synthesis before publication. Flags thin reasoning, unsupported claims, or recycled takes. Quality gate, not a filter.
Turns synthesized research into weekly briefs and blog drafts. House style enforced via retrieval-grounded prompts.
Converts briefs into shortform video scripts, assembles assets, and stages for review. Human approves before publish.
Keyword discovery, SERP analysis, and on-page optimization recommendations piped directly into content drafts.
Multi-strategy signal pipeline with ATR-based dynamic stops, RSI filters, volume confirmation, and FinBERT sentiment overlay.
LLM-based trade decisioner fed by the signal correlator. Outputs position, size, and risk envelope. Paper-only until critic clears.
Validates every proposed trade against historical patterns, risk limits, and portfolio constraints. Veto authority on live execution.
Pair-programming partner with Claude Code under the hood. Handles refactors, migrations, and new-feature scaffolding on approval.
Monitors services, alerts on anomalies, auto-restarts healthy-failed workers, and pages when human action is required.
Every money-moving or destructive action routes through here. Generates human-readable summaries, waits for chat-based confirmation.
The research engine ingests from eight distinct sources on a daily cadence, runs them through embedding and clustering, and produces ranked signals with full provenance. Nothing is black-boxed.
Front page, Show HN, Ask HN. Signal on what operators and builders are paying attention to right now.
Curated subreddit set across ML, startups, trading, healthcare. Sentiment and emerging topics.
cs.AI, cs.LG, q-fin, and adjacent categories. Abstracts filtered by relevance scoring before full-text.
Daily trending across languages, tracking repo momentum, release cadence, and maintainer signals.
Auto-transcribed feeds from curated industry podcasts. Searchable, timestamped, clustered.
Targeted keyword SERPs, SGE snapshots, and ranking shifts. Early warning on content gaps.
Curated operator and research newsletters ingested via dedicated inbox, parsed to structured signal.
Client-specific sources wired in per engagement — CRM signals, internal wikis, support ticket streams.
The whole stack runs on infrastructure you can explain to a CTO in a single sentence. No exotic dependencies, no hosted-platform lock-in, no magic. The magic is what we put on top.
DNS · CDN · WAF · DDoS
TLS automation · subdomain routing
Ubuntu 24.04 · dedicated IP
12 agents · orchestrated · self-healing
Pipelines · audit · pgvector
Hybrid routing: Claude / GPT / Ollama
| Service | Role | Status |
|---|---|---|
| hermes-gateway | Inbound agent routing | Healthy |
| tacavar-bot | Telegram interface | Healthy |
| openclaw-proxy | LLM routing layer | Healthy |
| research-engine | 8-stream ingest | Healthy |
| trading-core | Signal + decision pipeline | Healthy |
| domain-empire | Domain investing pipeline | Healthy |
| approval-broker | HIL gate service | Healthy |
| postgres-14 | Primary datastore | Healthy |
| caddy | Reverse proxy + TLS | Healthy |
Every system on this page was built under a core constraint: the human stays in the loop for anything that moves money, touches production data, or is difficult to reverse. Below is how that constraint shows up in the code.
Every money-moving or destructive action requires explicit human confirmation in Telegram before execution. No implicit consent. No auto-accept after N seconds.
Trading and any irreversible-action subsystems default to paper / dry-run. Live modes require multi-step unlock, critic clearance, and clean backtest window.
Every agent action, LLM call, approval, and override is written to an append-only log with full request/response capture. Fully auditable after the fact.
User-level scopes for which tools, data, and actions each human can invoke. Access revocation is immediate and enforced at the gateway layer.
Self-healing wrappers around every external call. Cost, rate, and failure budgets enforced per agent. A runaway loop stops itself before you notice.
Every shell-reaching tool call goes through a command approval workflow. No raw shell strings. Parameters are allow-listed and escaped at the boundary.
A representative sample of the audit stream the infrastructure produces. In a client engagement, this same feed is exposed to your team with appropriate scoping.
If you've seen enough, the next step is a private conversation — no pitch, no deck. Just a discussion about what your business's version of this looks like.