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Strategy & Analysis
Synthesize data from 50+ sources into actionable recommendations. Market research, due diligence, and competitive analysis — in hours, not weeks.
- Automated due diligence across market data, financials, and competitive intelligence
- Scenario planning across multiple market conditions simultaneously
- Investment memo generation with confidence-scored recommendations
- Real-time competitor tracking with automated alert triggers
- TAM/SAM/SOM market sizing with sensitivity analysis on key assumptions
4.2h avg due-diligence cycle
94% median confidence score
50+ sources per standard run
▶Watch this workflow live
✓
Data ingestion — 52 feeds connected, 14K data points
23s
✓
Market sizing — TAM $4.2B, SAM $890M, SOM $67M
4m 12s
✓
Competitor profiles — 12 companies analyzed, 3 direct threats
8m 34s
✓
Financial forecast — 5-year DCF + sensitivity tables
11m 07s
✓
Risk analysis — 3 high, 7 medium, 4 low risks scored
14m 22s
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Executive summary — generating investment memo...
~2m
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Board deck — 18-slide presentation with appendix
queued
A real run, step by step
run_8f3ka92 · Strategy & Analysis · completed
Input
A Series B payments target: data-room export (218 files), 36 months of financial statements, and a list of nine named competitors. Task: prepare the investment committee memo.
What the agent did
- Indexed the data room — 218 files, 3,412 pages; flagged 14 superseded document versions and 2 missing exhibits. 4m 02s
- Built a revenue bridge from invoice-level data; found a 4.1% gap between reported MRR and invoice totals, traced to FX timing. 31m
- Profiled 9 named competitors plus 3 adjacents discovered mid-run; pricing pulled from current public list prices. 52m
- Ran base/bear/bull scenarios on 5 key assumptions, with a sensitivity table on CAC payback. 38m
- Drafted the IC memo — 14 pages, 87 inline citations; 2 sections flagged below the 80% confidence threshold. 43m
- Compiled an exceptions list — 6 items routed for partner judgment instead of guessed at. 9m
Deliverable
✓ Run complete — 3h 51m
14-page investment committee memo, scenario appendix, and a 6-item exceptions list for partner review. Every claim links back to a data-room page.
✍️
Content Production
Full content pipeline from research to publish — blog posts, documentation, social campaigns, and multi-language localization. No prompt chains, one continuous workflow.
- End-to-end pipeline: topic research, outline, draft, edit, SEO optimization, publish
- Multi-language localization with cultural adaptation, not just translation
- Brand voice consistency across all channels with style guide enforcement
- Automated social media campaign generation from long-form content
- Performance analytics integration for data-driven content iteration
73% faster first-pass review
96/100 median brand-voice score
14 assets per launch package
▶Watch an agent run live
✓
Topic research — 23 keyword opportunities, 8 selected
1m 45s
✓
Outline generated — 6 sections, 2,400 word target
2m 30s
✓
First draft — 2,847 words, brand voice score 96%
7m 18s
✓
SEO optimization — meta tags, headings, internal links added
9m 02s
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Localization — EN ✓ / ZH processing / ES queued / JA queued
~4m
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Social snippets — X thread + LinkedIn post + newsletter excerpt
queued
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Publish — deploy to CMS + schedule social posts
queued
A real run, step by step
run_2vq7m61 · Content Production · completed
Input
Launch package for a new API rate-limiting feature: an 11-page engineering design doc, two customer interview transcripts, and the brand style guide.
What the agent did
- Extracted positioning from the design doc and interviews; produced a message hierarchy with 3 proof points. 3m 10s
- Drafted a 2,400-word technical post — brand-voice score 96/100 against the style guide. 11m
- Generated the docs page and changelog entry, terminology checked against existing documentation. 7m
- Produced 6 social variants and a newsletter excerpt from the long-form draft. 4m
- Localized into German and Japanese using the team’s terminology glossary, not raw translation. 9m
Deliverable
✓ Run complete — 34m
14 assets shipped to review: blog post, docs page, changelog entry, 6 social variants, newsletter excerpt, 2 localized editions. The editor logged 38 minutes of changes — one pass.
💻
Code & Engineering
Persistent engineering team members that handle PR review, debugging, refactoring, and documentation — the work nobody wants to do but everybody needs done.
- PR review against project conventions with automated inline comments and auto-fix PRs
- Debugging with full repository context across files, git history, and dependency trees
- Legacy refactoring with consistent patterns, test generation, and migration scripts
- Technical documentation generation from source code with usage examples and release notes
- Dependency audit with CVE scanning and automated upgrade recommendations
18 min median PR first-pass review
91% accepted without major revision
+4 pts avg coverage per reviewed PR
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✓
PR analyzed — #1847: 14 files changed, 2.3K lines diff
18s
✓
Convention check — ESLint, Prettier, naming patterns passed
42s
!
Security scan — JWT expiry not validated (auth/middleware.ts:142)
critical
⚠
Performance — N+1 query in listInvoices (db/queries.ts:89)
warning
✓
Test coverage — 87% → 91% (+4%), 12 new test cases
3m 14s
✓
Auto-fix PR — created #1848 for both findings
ready
✓
Docs updated — architecture notes + changelog entry generated
4m 01s
A real run, step by step
run_6tp1x48 · Code & Engineering · completed
Input
PR #1847 against acme/payments-api, a 480K-line TypeScript monorepo: 14 files, 2.3K-line diff touching the auth service. Triggered automatically by the GitHub App on ready_for_review.
What the agent did
- Loaded repository context — ownership map plus conventions inferred from the last 400 merged PRs. 12s
- Ran the convention check — ESLint, naming, and error-handling patterns all passed. 42s
- Security pass found JWT expiry not validated at auth/middleware.ts:142 — flagged critical. 1m 50s
- Performance pass caught an N+1 query in listInvoices at db/queries.ts:89. 2m 30s
- Generated 12 test cases — branch coverage moved from 87% to 91%. 3m 14s
- Opened auto-fix PR #1848 for both findings, with the rationale written into the PR description. 1m 20s
Deliverable
✓ Run complete — 16m
Review verdict with 9 inline comments plus auto-fix PR #1848 — 16 minutes from trigger to verdict. A human approves the merge; the first pass is already done.
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Research & Due Diligence
Deep research across legal documents, compliance frameworks, patent databases, and regulatory filings — with citation trails and confidence scoring on every finding.
- Legal document review with clause-level risk identification and redline suggestions
- Regulatory compliance mapping across SOC2, GDPR, HIPAA, and ISO 27001 frameworks
- Patent landscape analysis with prior art search and freedom-to-operate assessment
- M&A due diligence automation with financial, legal, and technical workstreams
- Audit trail with source citations, confidence scores, and uncertainty flagging
1h 12m median contract-bundle review
234 citations per report (median)
0 documents retained after a run
▶Watch this workflow live
✓
Document intake — 847 pages across 23 files ingested
1m 12s
✓
Clause extraction — 142 key clauses identified & categorized
6m 44s
✓
Risk assessment — 4 high-risk, 11 medium, 18 low flagged
12m 08s
✓
Compliance check — SOC2 92%, GDPR 88%, HIPAA 95%
18m 33s
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Patent search — 2,340 patents scanned, 17 relevant matches
~5m
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Redline draft — suggested modifications for 4 high-risk clauses
queued
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Final report — executive summary + full findings with citations
queued
A real run, step by step
run_9hd4w27 · Research & Due Diligence · completed
Input
A vendor MSA and DPA bundle: 847 pages across 23 files, reviewed against the company’s contracting playbook (rev. March 2026).
What the agent did
- Intake and version reconciliation — 23 files deduplicated, 2 conflicting drafts resolved to the latest signature versions. 4m
- Extracted and categorized 142 clauses against playbook positions. 11m
- Scored risk — 4 high (uncapped indemnity and unilateral price escalation among them), 11 medium, 18 low. 14m
- Mapped GDPR Article 28 processor terms — 88% covered, 3 gaps documented with the exact missing language. 12m
- Drafted redlines for the 4 high-risk clauses, with primary and fallback positions. 16m
- Assembled the findings report — 234 source citations, each linked to page and paragraph. 12m
Deliverable
✓ Run complete — 1h 09m
Findings report with redlines and a negotiation brief. Counsel reviews conclusions, not page numbers — every finding is traceable to its source paragraph.