Monitor, fix, and integrate AI outputs reliably into your remote workflows.
Remote solo founders waste time and get unreliable outputs from AI tools that fail to integrate seamlessly into their distributed workflows.
AIGuardian wraps your AI calls in a reliability layer that detects bad outputs, auto-fixes with context, and pushes to your stack. It learns from your past runs to prevent repeats in distributed setups. Solo founders get bulletproof AI without constant oversight.
Remote solo founders managing distributed workflows
Intelligent output monitoring with self-improving fix rules, tailored for distributed solo ops.
supportive
Proxy for any AI API with monitoring.
Checks against rules/regex/context before approve.
Regenerates bad outputs using learned patterns.
One-click to Slack, Email, Google Docs, etc.
Real-time monitoring and history.
Tracks your fixes to auto-apply in future.
Queue multiple AI tasks.
Control via Slack commands.
Suggests cheaper prompts/models.
PDF summaries of runs.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| stripe_id | text | Yes |
| created_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| prompt | text | No |
| output | jsonb | Yes |
| status | text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| type | text | No |
| config | jsonb | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| target | text | No |
| credentials | jsonb | Yes |
Relationships:
/api/ai/callProxy AI call with validation
/api/callsList calls
/api/rulesCreate validation rule
/api/push/:callIdPush output to integration
/api/dashboardSummary stats
No auto-fix
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 80 | 3% | $75 | $900 |
| Month 6 | 700 | 6% | $1,050 | $12,600 |
Guard against bad AI results in your remote workflows. Monitor, fix, integrate – all in one place.
Share Twitter thread on AI failures with screenshot demo, tag founders. Offer free month to first 10 signups from IndieHackers forum. Cold email 15 from ProductHunt solo launches.
Langchain ecosystem
Dev-focused, no easy integrations
No-code for solos + broad tool support
Self-improving fix database from user patterns, creating accuracy flywheel.
AI hallucinations rampant; solos can't afford debugging time in async workflows.
AI provider rate limits
Queueing and multi-model fallback
Complex learning logic bugs
Start rule-based, ML later
Success: 50 signups
Success: 70% calls validated successfully
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