Kijulo for Individuals
Stop re-verifying
what you already checked.
You test it, you confirm it — then the answer disappears into a chat thread and next month you check again. Kijulo captures the verification, remembers where every fact came from, and flags it when it goes stale — so your knowledge stays trustworthy and your agents build on it, not around it.
The problem
You're verifying the same things over and over.
Every day you research, test, and confirm things with AI. Then the answers vanish into chat history — unsourced, unverifiable, impossible to trust later. So you redo the work. The re-verification tax is real, and you pay it every week.
Answers you can't trust later
You had a great answer last week — a command that worked, a fact you confirmed. Now you need it again and you can't tell if it's still true or where it even came from. So you verify it from scratch.
Verification that evaporates
The work of checking — running the test, confirming the source — happens once and disappears. Nothing records that this was verified, when, and against what. The next person, or the next you, starts over.
No freshness, no trust
Notes and docs rot silently. Nothing tells you a fact went stale when its source changed. Without freshness, everything old is suspect — so you re-check everything, or worse, trust something that is no longer true.
The long-term play
Verify once. Trust it. Build on it.
A raw answer from a chatbot is unsourced and perishable. A fact in Kijulo carries where it came from, whether it was verified, and whether it is still true. Capture the verification once and it stops evaporating — for you, and for every agent that reads it.
Trust that compounds
When an answer lands as a traced, verified fact, your next question builds on it instead of re-deriving it. Verification accumulates instead of evaporating.
Your data stays yours
Kijulo runs locally on your machine. Your database is a file on your disk. No cloud account required, no data leaving your environment. You own everything — the structures, the content, the agent outputs. Always.
Agents that prove their work
Not just chat — agents that can run the check that settles a question (execute the command, re-pull the source), record it, and send every change to your approval. Confidence earned by acting, not asserted.
SQL power on your own data
Every database you create is a real SQL database. Filter, aggregate, join, query however you want. Your data isn't trapped behind a limited UI — it's fully accessible, fully yours, fully queryable.
Freshness built in
Kijulo tracks when a fact was last verified and against what. When the source changes, the fact can be flagged stale — so you re-check what actually moved, not everything.
Works without an LLM
Your data platform, entity types, views, and workflows work without any AI. LLM is an enhancement, not a dependency. If costs spike or you simply prefer manual work — everything still works.
How it works
From disposable answers to trusted knowledge
Define what matters to you
Create entity types for your domain — projects, decisions, research notes, goals, anything. Each field is typed and validated. Your schema reflects how you actually think.
Capture and verify
Add data through tables, boards, or agent conversations — with the source attached and a verification you can re-run. Link things together; a decision connects to the evidence that informed it.
Let agents amplify your work
Ask agents to research, draft, classify, enrich. They work on your structured data with tools you define. Every output is validated and recorded — not dumped into a chat window.
Trust it later
Verified facts stay traceable and fresh. Past checks feed future work. You stop re-verifying and start compounding — each week more trustworthy than the last.
Each week your trusted knowledge grows. Agents get more verified context. Facts stay fresh instead of rotting. The system compounds — the verification you do today saves the re-check tomorrow.
Kijulo vs. the status quo
Why this beats keeping it in ChatGPT
Chat is great for a one-off answer. But if you're building something you'll rely on later — a knowledge base, a research pipeline, a personal system — you need facts that stay sourced, verified, and current instead of evaporating into a thread.
| Chat-based AI tools | Kijulo | |
|---|---|---|
| Where AI answers live | Chat threads — unsourced, lost in days | Traced facts — sourced, verified, queryable |
| Data ownership | Cloud accounts, vendor lock-in | Local database, fully yours |
| Trusting past work | Re-verify from scratch every time | Verified once, flagged when it goes stale |
| Automation | Manual re-prompting every time | Repeatable workflows from recorded steps |
| Knowing if it's still true | No idea — no freshness signal | Staleness flagged when sources change |
| LLM provider | Locked to one vendor | Bring any API key, switch anytime |
Use cases
Your domain, your system
Kijulo doesn't ship with a fixed data model. You define the structures that match your work — and they evolve as your needs do.
Personal knowledge base
Structure your learning, reading notes, and insights. Link ideas together. Ask agents to find connections, summarize themes, or suggest what to explore next — all grounded in your own data.
Freelance project management
Track clients, projects, deliverables, and invoices in structures that match your workflow. Use agents to draft proposals, summarize project status, or flag overdue items.
Research & decision making
Capture options, pros/cons, evidence, and outcomes. Agents help you research alternatives and score them. Review decisions over time to spot patterns and improve your judgment.
Content creation pipeline
From idea capture to research to drafts to publication. Structure your pipeline, let agents handle the tedious parts — research, outlines, repurposing — while you keep creative control.
Pricing
Start free. Upgrade when it clicks.
Try the web app at no cost. Choose Standard for local power, Pro for cloud sync, or Premium for included LLM access.
Standard
2 months free
Desktop app. Unlimited everything, data on your machine. $5/month or $50/year.
- Desktop app — run locally, works offline
- Unlimited entity types, rows, agent conversations
- All views + all 14 agent tools + workflows
- BYO LLM API key
- Email support
Pro
2 months free
Cloud sync across up to 3 machines while using your own LLM key. $7/month or $60/year.
- Everything in Standard
- Cloud sync across up to 3 machines
- MCP access in the desktop app
- Multiple email accounts
- Bring your own LLM API key
Premium
or $150/year
Everything in Pro, plus included LLM access with no personal API key required.
- Everything in Pro
- Included LLM access (500 requests/month)
- No LLM API key needed
- Cloud sync across devices
- Priority support
Your answers deserve to be trusted, not re-checked.
Start with a local database. Capture the source and the verification once. Add agents when you're ready. Watch your knowledge stay trustworthy — every fact traced, verified, and current.