threejs: build an interactive map of agent roles
Use an existing3D skill to explain a swarm instead of commissioning another static concept.
Read the article →Articles, skills and ready-made solutions.
Named tools, usable recipes, source-linked cases and a clear route to implementation.
OpenDesign0.22.1 returned163built-in skill entries in our installed catalogue on15October2026. This feed names specific skills and templates. Presence is verified; individual creative runs are not claimed. The studio requires operator login.
article-magazine: turn a checked case into a readable article
A named ready-made layout skill for substantial project publications.
Read the article →frontend-slides: an interactive demo deck for your product
Reuse the installed presentation skill for a sales demo tied to real evidence.
Read the article →design-review: inspect the page before selling it
Turn a ready visual-review skill into a concrete release checklist.
Read the article →ad-creative: write a campaign for an actual offer
A concrete marketing skill with evidence and a functioning destination.
Read the article →evidence-publishing: a portable skill for a useful project article
A concrete article contract that connects a result, sources, learning and an offer.
Read the article →AI orchestration: from a prompt to an accepted result
A practical design for delegation, evidence and recovery.
Read the article →DSHREM: a project-aware AI terminal
Sessions, scoped work and receipts before unattended automation.
Read the article →Telegram as an operator interface
Progress, trusted decisions and a clear boundary around control.
Read the article →SPIDER: a source-to-evidence workflow
Define the sources, preserve provenance and make missing data visible.
Read the article →Shared memory without shared mistakes
Keep facts, hypotheses and permissions distinct across agent sessions.
Read the article →What Devstral taught us about acceptance
Evaluate completeness and accepted outputs, not fluent completion messages.
Read the article →Brains: make the system understandable
An interactive map should explain a workflow before it claims to monitor one.
Read the article →Engineering that can show its work
TVIJO connects operators, bounded agent work and knowledge that can be checked and reused.
Read the article →AGENTORCH: the orchestrator has a concrete job
AGENTORCH names the orchestration role: plan, assign, observe, reconcile and accept.
Read the article →The task packet is the interface
A good task describes a verifiable outcome rather than an invitation to improvise without limits.
Read the article →AGENTJUDGE: acceptance follows evidence
A reviewer checks the task, the artifact version and each acceptance criterion.
Read the article →Measure cost per accepted result
Small task benchmarks illustrate why task class and acceptance matter more than a cheap model label.
Read the article →Budgets and outages belong in the state machine
A reliable operator view distinguishes working, waiting, failed, blocked and accounting uncertainty.
Read the article →Keep VECTORBASE, evaluate retrieval
Use a private source-linked index to find evidence; do not treat search results as authority.
Read the article →SPIDER: evidence collection and useful progress
The first implementation reads an explicit project-evidence list and produces a dated operator digest without model calls.
Read the article →DSHREMBOT and tmux: one operator view
Authenticated project commands, budget visibility and explicit schedule controls connect the operator to existing execution lanes.
Read the article →The OpenAI–Hugging Face incident: learn from controls
The incident reports support specific engineering lessons, not a controlled ranking of our system.
Read the article →What the supplied Opus screenshot actually proves
The screenshot records a safeguard-triggered switch in one session; it does not explain the exact trigger. The observation is the supplied screenshot dated 15 October 2026.
Read the article →Training our own model: a gated research direction
A proprietary model is an option to test after retrieval, prompts and routing have measurable limits.
Read the article →A bilingual knowledge product with visible limits
Publish useful explanations first, then expand languages when the evidence and workflow are ready.
Read the article →Free learning, custom projects and future challenges
Turn evidence-backed engineering into clear offers and a useful developer community.
Read the article →Trust the sender, not a public checksum
Bind the complete message to an explicitly trusted authority.
Read the article →Two swarm models: a terminology comparison
A dated comparison of self-organisation and controlled engineering workflows.
Read the article →Why fewer stars can still be the right choice
Capability, delivery, evidence and a useful next step.
Read the article →Useful competitor options and our next steps
Capability, delivery, evidence and a useful next step.
Read the article →Hotido: from a public notice to a reviewed opportunity
Capability, delivery, evidence and a useful next step.
Read the article →FinEdg: from a research question to a checked result
Capability, delivery, evidence and a useful next step.
Read the article →What does a useful swarm result cost?
Capability, delivery, evidence and a useful next step.
Read the article →AGENTJUDGE: what the comparison review changed
Capability, delivery, evidence and a useful next step.
Read the article →AGENTSORCH: give the work a direction.
From a task packet to an accepted handoff.
Read the article →AGENTSJUDJE: let evidence decide.
A review method that distinguishes a claim from a verified result.
Read the article →The swarm operator’s field guide.
A public learning adaptation of the operator wiki.
Read the article →A green check needs a version.
Why acceptance belongs to an artefact, not a convincing report.
Read the article →A checksum is not an identity.
A concrete engineering lesson from the 15 October release.
Read the article →Six ways to see the system.
Neurons, towers, maps and territories with an explicit meaning.
Read the article →What changed on 15 October.
A dated engineering case, with the delivery boundary kept visible.
Read the article →Useful work. Clear evidence. An agreed scope.
Choose a useful result and agree its scope with TVIJO.
Read the article →A handoff that another operator can use
A reusable pattern for tasks that cross sessions and people.
Read the article →What belongs in an operator cockpit?
Choose useful signals before adding another bot command.
Read the article →From a pile of links to a reusable finding
A source-to-evidence pattern for research and procurement.
Read the article →More than a star count.
Compare scope, evidence and buyer fit. Then choose a bounded implementation pilot.
Read the article →COMP: inspect every star.
Compare scope, evidence and buyer fit. Then choose a bounded implementation pilot.
Read the article →Research swarms and operator systems.
Compare scope, evidence and buyer fit. Then choose a bounded implementation pilot.
Read the article →TVIJO vs OpenClaw
Compare scope, evidence and buyer fit. Then choose a bounded implementation pilot.
Read the article →TVIJO vs Hermes Agent
Compare scope, evidence and buyer fit. Then choose a bounded implementation pilot.
Read the article →TVIJO vs OpenAI Agents SDK
Compare scope, evidence and buyer fit. Then choose a bounded implementation pilot.
Read the article →TVIJO vs OpenAI Codex
Compare scope, evidence and buyer fit. Then choose a bounded implementation pilot.
Read the article →TVIJO vs LangGraph
Compare scope, evidence and buyer fit. Then choose a bounded implementation pilot.
Read the article →TVIJO vs CrewAI
Compare scope, evidence and buyer fit. Then choose a bounded implementation pilot.
Read the article →TVIJO vs n8n
Compare scope, evidence and buyer fit. Then choose a bounded implementation pilot.
Read the article →brand-extract: build a brand kit from a public website
Reuse an existing browser-assisted extraction skill when preparing a company profile.
Read the article →agent-browser: record public-page evidence reproducibly
A named browser skill for source inspection and UI checks.
Read the article →data-report: turn recorded data into a useful HTML report
Use the installed reporting skill instead of starting another dashboard from zero.
Read the article →A ready trading-analysis dashboard template: what to reuse
Separate an installed visual template from a connected trading product.
Read the article →notice-normalize: a portable skill for clean tender records
Download the actual SKILL.md and deterministic normalisation helper.
Read the article →recorded-output-check: a portable skill for fair implementation comparisons
Compare outputs on the same recorded input before discussing language speed.
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